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Vieses cognitivos e o investidor individual brasileiro: uma análise da intensidade de vieses em decisões de investidores; Cognitive biases and the Brazilian individual investor: the intensity of biases in investor's decisions

Cotrim, Bianca Simões
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 17/11/2014 PT
Relevância na Pesquisa
37.03%
O mercado de capitais brasileiro tem se desenvolvido ao longo dos anos, e com o fim do longo período inflacionário, houve a possibilidade das pessoas fazerem planejamentos de longo prazo, sem se preocupar apenas com a perda do valor do dinheiro no curto prazo. Alguns fatores levaram à entrada de investidores no mercado de capitais, que tem sido crescente nos últimos anos. Para que se atraia cada vez mais investidores para esse mercado, e de forma sustentável, instruindo-os para que possam ter mais consciência na hora de investir, é essencial conhecer vieses que influenciam suas decisões, pois, diferentemente do que apontam as Teorias Tradicionais e Modernas de Finanças, os investidores (e as pessoas em geral) não agem de forma completamente racional quando fazem escolhas, podendo ser influenciados, de forma mais ou menos intensa, por vieses, como excesso de confiança, falácia de custos irrecuperáveis, aversão à perda, entre outros, que poderão afetar essas escolhas, e por fim, o mercado em geral. Dessa forma, o objetivo deste estudo foi de identificar a intensidade em que vieses estão presentes em decisões de investidores individuais do mercado de capitais brasileiro, e verificar se essa intensidade está relacionada ao sexo e ao tempo como investidor do mercado...

Excesso de confiança, optimismo e ancoragem em gestores da construção civil no Brasil: estudo de caso da Camargo Correia

Feitosa, Arnaldo Barros
Fonte: Instituto Universitário de Lisboa Publicador: Instituto Universitário de Lisboa
Tipo: Dissertação de Mestrado
Publicado em //2010 POR
Relevância na Pesquisa
26.91%
Projeto, Mestrado em Gestão de Empresas; A mente humana é limitada em sua habilidade de processar informações e tomar decisões. Consequentemente, os indivíduos se utilizam de heurísticas e vieses no intuito de reduzir complexidade do ambiente a níveis gerenciáveis. Heurísticas e vieses de julgamento afetam o processo de tomada de decisão, permitindo que o gestor tome decisões de grande complexidade sob condições simplificadas, com o benefício da economia de tempo. Dessa forma, podem ser úteis aos gestores, tornando mais eficiente o processamento de informações ao direcioná-lo às relevâncias e urgências comuns ao processo de tomada de decisão. Entretanto, este processo também pode levar a importantes inconsistências ou lapsos de decisão que, persistentes e previsíveis, geram padrões de comportamento que podem ser compreendidos pela teoria. O objetivo deste trabalho consiste em diagnosticar vieses do excesso de confiança, otimismo e ancoragem, em gestores de uma importante empresa de construção civil do Brasil. Neste propósito, uma amostra de 84 gestores foi submetida a um questionário estruturado, contento instrumentos selecionados na literatura de processo decisório, no intuito de identificar a presença de vieses. A partir de testes paramétricos e nãoparamétricos...

Information processing biases and panic disorder: Relationships among cognitive and symptom measures

Teachman, Bethany A.; Smith-Janik, Shannan B.; Saporito, Jena
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
26.91%
To test cognitive models of panic disorder, a range of information processing biases were examined among persons with panic disorder (N=43) and healthy control participants (N=38). Evidence for automatic associations in memory was assessed using the Implicit Association Test, interference effects related to attention biases were assessed using a modified supraliminal Stroop task, and interpretation biases were assessed using the Brief Body Sensations Interpretation Questionnaire. In addition, the relationship between information processing biases and clinical markers of panic (including affective, behavioral, and cognitive symptom measures) was investigated, along with the relationships among biases. Results indicated more threat biases among the panic (relative to control) group on each of the information processing measures, providing some of the first evidence for an implicit measure of panic associations. Further, structural equation modeling indicated that the information processing bias measures were each unique predictors of panic symptoms, but that the bias indicators did not relate to one another. These findings suggest that cognitive factors may independently predict panic symptoms, but not covary. Results are discussed in terms of their support for cognitive models of panic and the potential for automatic versus strategic processing differences across the tasks to explain the low relationships across the biases.

Phenomenological Characteristics of Attentional Biases Towards Threat: A Critical Review

Cisler, Josh M.; Bacon, Amy K.; Williams, Nathan L.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /04/2009 EN
Relevância na Pesquisa
26.87%
Although research has consistently revealed the presence of a general attentional bias towards threat, empirical and theoretical ambiguity exists in determining whether attentional biases are comprised of facilitated attention to threat, difficulty in disengagement from threat, or both, as well as whether attentional biases reflect automatic or strategic processes. This paper reviews empirical investigations across 4 common assessment tasks: the Stroop (masked and unmasked), dot probe, visual search, and the Posner tasks. Although the review finds inconsistencies both within and between assessment tasks, the evidence suggests that attentional biases towards threat are comprised of each of the phenomenological characteristics addressed in this paper. Contemporary theoretical models of attentional biases in anxiety are summarized and critically reviewed in light of the current evidence. Suggestions for future research are addressed, including a need to investigate the psychometric properties of the assessment tasks, to utilize consistent theoretically driven operationalizations of attentional biases, and to provide a temporal description of the characteristics of attentional biases towards threat.

Cognitive Biases in Childhood Anxiety Disorders: Do Interpretive and Judgment Biases Distinguish Anxious Youth from their Non-anxious Peers?

Cannon, Melinda F.; Weems, Carl F.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
26.91%
The purpose of this study was to compare interpretive biases (i.e., the tendency to interpret neutral stimuli in a negative way) and judgment biases (i.e., a lowered estimate of one’s ability to cope with a threatening situation) in clinically anxious youth (n = 24) with a demographically matched group of non-referred youth (n = 48). Interpretive biases were assessed with the Children’s Negative Cognitive Error Questionnaire (CNCEQ) and judgment biases were assessed with the Anxiety Control Questionnaire—child form (ACQ-C). Results indicated that (1) children in the clinic sample exhibited significantly more negative interpretive biases and less positive judgment biases relative to the control sample, (2) the ACQ-C demonstrated incremental validity over the CNCEQ in predicting diagnostic status, (3) the ACQ-C predicted diagnostic status while controlling for Generalized Anxiety Disorder symptoms and parent-reported internalizing and externalizing symptoms, (4) the relationship between the CNCEQ and diagnostic status was moderated by age and gender. Implications of the findings for theory and practice are discussed to highlight suggestions for future research and clinical practice.

Detection and Removal of Biases in the Analysis of Next-Generation Sequencing Reads

Schwartz, Schraga; Oren, Ram; Ast, Gil
Fonte: Public Library of Science Publicador: Public Library of Science
Tipo: Artigo de Revista Científica
Publicado em 31/01/2011 EN
Relevância na Pesquisa
26.94%
Since the emergence of next-generation sequencing (NGS) technologies, great effort has been put into the development of tools for analysis of the short reads. In parallel, knowledge is increasing regarding biases inherent in these technologies. Here we discuss four different biases we encountered while analyzing various Illumina datasets. These biases are due to both biological and statistical effects that in particular affect comparisons between different genomic regions. Specifically, we encountered biases pertaining to the distributions of nucleotides across sequencing cycles, to mappability, to contamination of pre-mRNA with mRNA, and to non-uniform hydrolysis of RNA. Most of these biases are not specific to one analyzed dataset, but are present across a variety of datasets and within a variety of genomic contexts. Importantly, some of these biases correlated in a highly significant manner with biological features, including transcript length, gene expression levels, conservation levels, and exon-intron architecture, misleadingly increasing the credibility of results due to them. We also demonstrate the relevance of these biases in the context of analyzing an NGS dataset mapping transcriptionally engaged RNA polymerase II (RNAPII) in the context of exon-intron architecture...

Attentional Biases for Emotional Faces in Young Children of Mothers with Chronic or Recurrent Depression

Kujawa, Autumn J.; Torpey, Dana; Kim, Jiyon; Hajcak, Greg; Rose, Suzanne; Gotlib, Ian H.; Klein, Daniel N.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /01/2011 EN
Relevância na Pesquisa
26.91%
Attentional biases for negative stimuli have been observed in school-age and adolescent children of depressed mothers and may reflect a vulnerability to depression. The direction of these biases and whether they can be identified in early childhood remains unclear. The current study examined attentional biases in 5–7-year-old children of depressed and non-depressed mothers. Following a mood induction, children participated in a dot-probe task assessing biases for sad and happy faces. There was a significant interaction of group and sex: daughters of depressed mothers attended selectively to sad faces, while children of controls and sons of depressed mothers did not exhibit biases. No effects were found for happy stimuli. These findings suggest that attentional biases are discernible in early childhood and may be vulnerability markers for depression. The results also raise the possibility that sex differences in cognitive biases are evident before the emergence of sex differences in the prevalence of depression.

Automated detection of heuristics and biases among pathologists in a computer-based system

Crowley, Rebecca S.; Legowski, Elizabeth; Medvedeva, Olga; Reitmeyer, Kayse; Tseytlin, Eugene; Castine, Melissa; Jukic, Drazen; Mello-Thoms, Claudia
Fonte: Springer Netherlands Publicador: Springer Netherlands
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
26.94%
The purpose of this study is threefold: (1) to develop an automated, computer-based method to detect heuristics and biases as pathologists examine virtual slide cases, (2) to measure the frequency and distribution of heuristics and errors across three levels of training, and (3) to examine relationships of heuristics to biases, and biases to diagnostic errors. The authors conducted the study using a computer-based system to view and diagnose virtual slide cases. The software recorded participant responses throughout the diagnostic process, and automatically classified participant actions based on definitions of eight common heuristics and/or biases. The authors measured frequency of heuristic use and bias across three levels of training. Biases studied were detected at varying frequencies, with availability and search satisficing observed most frequently. There were few significant differences by level of training. For representativeness and anchoring, the heuristic was used appropriately as often or more often than it was used in biased judgment. Approximately half of the diagnostic errors were associated with one or more biases. We conclude that heuristic use and biases were observed among physicians at all levels of training using the virtual slide system...

Duration of Recovery and Susceptibility to Criticism-Induced Information-Processing Biases in Major Depression

Angel, Jason
Fonte: Harvard University Publicador: Harvard University
Tipo: Thesis or Dissertation
EN_US
Relevância na Pesquisa
26.99%
Major depression is a highly prevalent disorder that affects millions of individuals worldwide each year. Theorists such as Aaron T. Beck (1967; 1976) revolutionized how depression is understood by proposing that cognitive factors are involved in the etiology and maintenance of depression. Inspired by his and other cognitive theories, researchers have documented negative biases in attentional and interpretive cognitive processing of emotional stimuli in individuals with major depressive disorder. However, very little cognitive research has been conducted on individuals with a past history of depression or at different time points since their depressive episode. Also, researchers have not tested whether criticism, a known psychosocial predictor of relapse, exacerbates information-processing biases in people with major depression or reactivates such biases in people in various stages of recovery from the disorder (Butzlaff & Hooley, 1998; Hooley & Gotlib, 2000). As criticism has been implicated in psychiatric relapse, its impact was tested on both formerly depressed persons who are potentially at risk for relapse and recurrence of a depressive episode. The current study was designed to test whether criticism was capable of evoking information-processing biases in attending to and interpreting ambiguous stimuli. Participants (n = 115) at different points in their recovery from depression (i.e. remitted [n = 33] and recovered depressed participants [n = 24])...

Ownership biases and FDI in China: two provinces

Huang, Yasheng
Fonte: MIT - Massachusetts Institute of Technology Publicador: MIT - Massachusetts Institute of Technology
Tipo: Trabalho em Andamento Formato: 510487 bytes; application/pdf
EN_US
Relevância na Pesquisa
36.77%
Jiangsu and Zhejiang are of two of China most prosperous and dynamic provinces. This paper first presents a factual account of two empirical phenomena: 1) FDI has played a more substantial role in the economic development of Jiangsu than in Zhejiang, and 2) ownership biases against domestic private firms in Jiangsu were more substantial than in Zhejiang. The paper hypothesizes that there is a connection between these two empirical phenomena. Specifically, ownership biases against domestic private firms increase preferences for FDI because FDI provides a measure of relative property rights security. Thus a biased domestic private firm has an incentive to move its assets and/or future growth opportunities to the foreign sector. The paper uses two private-sector surveys - one conducted in 1993 and the other in 2002 - to provide an empirical test of this hypothesis. Our analysis shows, controlling for a variety of firm-level attributes and industry and regional characteristics, those private firms which perceive ownership biases to be more severe are more likely to form joint ventures with foreign firms.

Do personality traits affect decision-making ability: can MBTI type predict biases?

Welsh, M.; Al Hakim, A.; Ball, F.; Dunstan, J.; Begg, S.
Fonte: Australian Petroleum Production and Exploration Association Publicador: Australian Petroleum Production and Exploration Association
Tipo: Artigo de Revista Científica
Publicado em //2011 EN
Relevância na Pesquisa
36.94%
From decades of psychological research, the observation that people’s decisions are often biased by particular decision-making flaws has led to discussions of what can be done to de-bias decisions. A key area of research is the study of individual differences in decision-making ability— that is, whether certain people are less susceptible to particular biases. Much of this research, however, has focused on the impact of intelligence on decision-making ability. This, however, is of limited use in industries such as oil and gas where, due to hiring criteria that commonly include at least a bachelor’s degree, a restricted range of intelligence is observed. Given this, it may be more fruitful to consider other sources of potential differences in decision-making ability such as personality traits. The Myers-Briggs Type Indicator (MBTI) (Myers et al, 1998) is a personality test based on Jung’s 1921 theory of psychological types (see, e.g., Jung, 1971). People are sorted into one of 16 categories based on their responses to the personality test. Although the test is widely used to identify leadership styles and preferences and therefore influence recruitment decisions (including within the petroleum industry), the impact of Myers-Briggs personality type on decision making itself and...

Best practices and potential biases in trade missions : Portuguese SMEs mission guidelines

Sousa, Jorge Diogo Rodrigues e
Fonte: Universidade Católica Portuguesa Publicador: Universidade Católica Portuguesa
Tipo: Dissertação de Mestrado
Publicado em 29/05/2015 ENG
Relevância na Pesquisa
36.69%
Standing in a period of economic uncertainty, Portugal had to look for measures to improve its financial health. Internationalization was regarded as an option, leading EPAs and, specifically, Trade Missions to gain notoriety. Since SMEs are crucial in the country’s recovery and are seen as the companies which can receive greater benefits from participating in these Missions, we develop a list of potential biases and best practices regarding Trade Mission. Through interviewing SMEs participants, EPAs, and Trade Fairs SMEs participants, we manage to identify some initiatives expected to contribute in making Portuguese Trade Missions more efficient. Among the potential biases, most of them are related to internal attribution. As a result, firms need to: be explicit while interacting with the agencies; take measured risks on which country to invest and be aware of their capability to internationalize their operations; understand who their potential partners are and how to interact with them; and be as less dependent as possible from the organizers, hence, making deals on their own. Regarding the best practices, the ones listed intend to give doable conducts on how an SME can prepare for a Trade Mission. We aim at making participants aware of others’ importance and...

Decision making heuristics and biases in software project management: an experimental investigation

Ronan, Daniel
Fonte: Monterey, California. Naval Postgraduate School Publicador: Monterey, California. Naval Postgraduate School
EN_US
Relevância na Pesquisa
36.57%
Approved for public release; distribution is unlimited; Software project development has been plagued with an infamous reputation for cost overruns, late deliveries, poor reliability and users' dissatisfaction. Much of this blame has been placed on the managerial side of software development. The Systems Dynamic Model of Software Project Management is a quantitative model of software project dynamics that is attempting to gain some valuable insight into the managerial side of developing software systems. The objective of this thesis is to use the Systems Dynamic Model's gaming interface to investigate managerial heuristic and biases in software project management. Specifically, three experiments were executed to determine the effect of anchoring on productivity estimation, the effect of poor cost estimation on staffing decisions and the effect of social loafing on a software project's staffing decisions, final cost and final duration.; Lieutenant, United States Coast Guard

Cognitive biases in the petroleum industry: Impact and remediation

Welsh, M.; Bratvold, R.; Begg, S.
Fonte: Society of Petroleum Engineers; Texas Publicador: Society of Petroleum Engineers; Texas
Tipo: Conference paper
Publicado em //2005 EN
Relevância na Pesquisa
36.91%
It has been repeatedly demonstrated [1-5] that humans are prone to what are called cognitive biases - discrepancies between calculated, optimal decisions and those made using intuition. Such demonstrations of cognitive bias in expert decision makers, however, are often criticized on the basis of their content being irrelevant to the participants. We present results of a study, based on a range of questions designed to highlight a number of well-known biases and including an extension of Capen's [1] study of overconfidence in SPE members, put to industry personnel from a variety of companies. To limit the objection raised above, all questions related to the O&G industry. The authors discuss the biases exhibited and their potential impact on Oil and Gas industry decisions with a special focus on remediation. Despite domain familiarity, industry personnel exhibited a range of cognitive biases indicating that, in accordance with the literature, familiarity with subject material does not remove their impact; nor does industry experience alleviate it. The authors conclude that the biases demonstrated are likely to already be impacting industry decisions. The effect of having had specific risk training is also discussed in light of the results herein with the conclusion that...

A Translational Rodent Assay of Affective Biases in Depression and Antidepressant Therapy

Stuart, Sarah A; Butler, Paul; Munafò, Marcus R; Nutt, David J; Robinson, Emma SJ
Fonte: Nature Publishing Group Publicador: Nature Publishing Group
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
26.91%
The subjective measures used to study mood disorders in humans cannot be replicated in animals; however, the increasing application of objective neuropsychological methods provides opportunities to develop translational animal tasks. Here we describe a novel behavioral approach, which has enabled us to investigate similar affective biases in rodents. In our affective bias test (ABT), rats encounter two independent positive experiences—the association between food reward and specific digging substrate—during discrimination learning sessions. These are performed on separate days under either neutral conditions or during a pharmacological or affective state manipulation. Affective bias is then quantified using a preference test where both previously rewarded substrates are presented together and the rat's choices recorded. The absolute value of the experience is kept consistent and all other factors are counterbalanced so that any bias at recall can be attributed to treatment. Replicating previous findings from studies in healthy volunteers, we observe significant positive affective biases following acute treatment with typical (fluoxetine, citalopram, reboxetine, venlafaxine, clomipramine) and atypical antidepressants (agomelatine...

The association between negative attention biases and symptoms of depression in a community sample of adolescents

Platt, Belinda; Murphy, Susannah E.; Lau, Jennifer Y.F.
Fonte: PeerJ Inc. Publicador: PeerJ Inc.
Tipo: Artigo de Revista Científica
Publicado em 29/10/2015 EN
Relevância na Pesquisa
26.96%
Adolescence is a vulnerable time for the onset of depression. Recent evidence from adult studies suggests not only that negative attention biases are correlated with symptoms of depression, but that reducing negative attention biases through training can in turn reduce symptomology. The role and plasticity of attention biases in adolescent depression, however, remains unclear. This study examines the association between symptoms of depression and attention biases, and whether such biases are modifiable, in a community sample of adolescents. We report data from 105 adolescents aged 13–17 who completed a dot-probe measure of attention bias before and after a single session of visual search-based cognitive bias modification training. This is the first study to find a significant association between negative attention biases and increased symptoms of depression in a community sample of adolescents. Contrary to expectations, we were unable to manipulate attention biases using a previously successful cognitive bias modification task. There were no significant effects of the training on positive affect and only modest effects of the training, identified in post-hoc analyses, were observed on negative affect. Our data replicate those from the adult literature...

A contextual approach on sex-related biases in pain judgments: The moderator effects of medical evidence and patients' distress cues on nurses' judgments of chronic low-back pain.

Bernardes, S. F.; Lima, M. L.
Fonte: Scientific Research Publishing Inc. Publicador: Scientific Research Publishing Inc.
Tipo: Artigo de Revista Científica
Publicado em //2011 ENG
Relevância na Pesquisa
36.69%
WOS:000299559200006 (Nº de Acesso Web of Science); “Prémio Científico ISCTE-IUL 2012”; Although women report feeling more pain than men, their pain is often underdiagnosed and undertreated. By proposing a gender-based theoretical conceptualisation, we argue that such sex-related biases may be enhanced or suppressed by contextual variables pertaining to the clinical situation, the perceiver or the patient. Consequently, we aimed to explore the moderator role of two clinically relevant variables in a chronic low-back pain (CLBP) scenario: diagnostic evidence of pathology (EP) and pain behaviours conveying distress. One-hundred and twenty-six female nurses (M=35.33, SD=7.64) participated in an experimental between-subjects design, 2 (patient's sex) x 2 (EP: present vs. absent) x 2 (pain behaviours: with vs. without distress). Independent variables were operationalised by vignettes depicting a patient with CLBP. Nurses judged the patient's pain on several dimensions: (1) credibility; (2) disability; (3) severity of the clinical situation; (4) psychological attributions and (5) willingness to offer support. Main findings showed that judgements of women's pain were influenced by EP, while judgements of men's pain were not. Moreover...

Systematic Biases in Galaxy Luminosity Functions

Dalcanton, Julianne J.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 01/10/1997
Relevância na Pesquisa
26.91%
Both the detection of galaxies and the derivation of the luminosity function depend upon isophotal magnitudes, implicitly in the first case, and explicitly in the latter. However, unlike perfect point sources, the fraction of a galaxy's light contained within the limiting isophote is a function of redshift, due to the combined effects of the point spread function and cosmological dimming. This redshift variation in the measured isophotal luminosity can strongly affect the derived luminosity function. Using simulations which include the effects of seeing upon both disk and elliptical galaxies, we explore the size of the systematic biases which can result from ignoring the redshift variation in the fraction of detected light. We show that the biases lead to underestimates in the normalization of the luminosity function, as well as changes in shape. The size of the bias depends upon redshift, and thus can mimic galaxy evolution. Surprisingly, these biases can be extremely large without affecting . However, these biases can be detected in the full distribution of V/V_max, and in fact may have already been detected in recent surveys. Because the systematic biases result from the redshift variation in the fraction of lost light...

Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis

Hearty, Thomas J.; Savtchenko, Andrew; Tian, Baijun; Fetzer, Eric; Yung, Yuk L.; Theobald, Michael; Vollmer, Bruce; Fishbein, Evan; Won, Young-In
Fonte: American Geophysical Union Publicador: American Geophysical Union
Tipo: Article; PeerReviewed Formato: application/pdf; application/msword; image/jpeg; image/jpeg; image/jpeg; image/jpeg; image/jpeg
Publicado em 27/03/2014
Relevância na Pesquisa
26.96%
We use MERRA (Modern Era Retrospective-Analysis for Research Applications) temperature and water vapor data to estimate the sampling biases of climatologies derived from the AIRS/AMSU-A (Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit-A) suite of instruments. We separate the total sampling bias into temporal and instrumental components. The temporal component is caused by the AIRS/AMSU-A orbit and swath that are not able to sample all of time and space. The instrumental component is caused by scenes that prevent successful retrievals. The temporal sampling biases are generally smaller than the instrumental sampling biases except in regions with large diurnal variations, such as the boundary layer, where the temporal sampling biases of temperature can be ± 2 K and water vapor can be 10% wet. The instrumental sampling biases are the main contributor to the total sampling biases and are mainly caused by clouds. They are up to 2 K cold and > 30% dry over midlatitude storm tracks and tropical deep convective cloudy regions and up to 20% wet over stratus regions. However, other factors such as surface emissivity and temperature can also influence the instrumental sampling bias over deserts where the biases can be up to 1 K cold and 10% wet. Some instrumental sampling biases can vary seasonally and/or diurnally. We also estimate the combined measurement uncertainties of temperature and water vapor from AIRS/AMSU-A and MERRA by comparing similarly sampled climatologies from both data sets. The measurement differences are often larger than the sampling biases and have longitudinal variations.

Introducing Biases in Document Clustering

Ramírez-Cruz,Yunior
Fonte: Centro de Investigación en computación, IPN Publicador: Centro de Investigación en computación, IPN
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/03/2014 EN
Relevância na Pesquisa
36.69%
In this paper, we present three criteria for introducing biases in document clustering algorithms, when information characterizing the document collections is available. We focus on collections known to be the result of a document categorization or sample-based document filtering process. Our proposals rely on profiles, i.e., document samples known to have been used for obtaining the collection, to extract statistics which determine the biases to introduce. We conduct an experimental evaluation over a number of collections extracted from the widely used corpus RCV1, which allows us to confirm the validity of our proposals and determine a number of situations where biased clusterings, according to different criteria, outperform their unbiased counterparts.