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1by Daniel Stegmueller Published in American journal of political science (01.07.2013)“...Researchers in comparative research increasingly use multilevel models to test effects of country-level factors on individual behavior and preferences...”
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2by Rens van de Schoot David Kaplan Jaap Denissen Jens B. Asendorpf Franz J. Neyer Marcel A.G. van Aken Published in Child development (01.05.2014)“...Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In this study a gentle introduction to Bayesian analysis is...”
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3by Rouziou, Maria Dugan, Riley Published in The Journal of personal selling & sales management (02.04.2020)“...Given the scant attention paid to Bayesian inference in the academic sales literature, researchers could be forgiven for believing that frequentist methods...”
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4“...When people have access to information sources such as newspaper weather forecasts, drug-package inserts, and mutual-fund brochures, all of which provide...”
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5by Bradley Efron Published in Statistical science (01.02.2008)“...The classic frequentist theory of hypothesis testing developed by Neyman, Pearson and Fisher has a claim to being the twentieth century's most influential...”
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6by John D. Storey Published in The Annals of statistics (01.12.2003)“...Multiple hypothesis testing is concerned with controlling the rate of false positives when testing several hypotheses simultaneously. One multiple hypothesis...”
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7“...We propose a generalized double Pareto prior for Bayesian shrinkage estimation and inferences in linear models. The prior can be obtained via a scale mixture...”
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8by Kosugi, Koji Published in The Japanese Journal of Psychonomic Science (31.03.2019)“...In this paper, I clarify the problem of null hypothesis significance testing along with Kruschke (2014) and point out five advantages of Bayesian statistics...”
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9Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria“...A common concern with Bayesian methodology in scientific contexts is that inferences can be heavily influenced by subjective biases. As presented here, there...”
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10by Philip A Schrodt“...A combination of technological change, methodological drift and a certain degree of intellectual sloth, particularly with respect to philosophy of science, has...”
edited by Buhaug, Halvard Levy, Jack S
Published in Journal of peace research (01.03.2014)
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11“...We continue the investigation of Bernstein-von Mises theorems for nonparametric Bayes procedures from [Ann. Statist. 41 (2013) 1999-2028]. We introduce...”
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12by Jan Hannig Published in Statistica Sinica (01.04.2009)“...In this paper we extend Fisher's fiducial argument and obtain a generalized fiducial recipe that greatly expands the applicability of fiducial ideas. We do...”
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13“...The concept of missing at random is central in the literature on statistical analysis with missing data. In general, inference using incomplete data should be...”
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14“...Bernstein—von Mises theorems for nonparametric Bayes priors in the Gaussian white noise model are proved. It is demonstrated how such results justify Bayes...”
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15“...Variable selection in the linear regression model takes many apparent faces from both frequentist and Bayesian standpoints. In this paper we introduce a...”
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16by Valen E. Johnson Published in Proceedings of the National Academy of Sciences - PNAS (26.11.2013)“...Recent advances in Bayesian hypothesis testing have led to the development of uniformly most powerful Bayesian tests, which represent an objective, default...”
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17by Trevor Sweeting Published in Statistical science (01.05.2011)“...Statistical Science 2011, Vol. 26, No. 2, 206-209 Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh [arXiv:1108.2120]...”
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18by José M. Bernardo Published in Statistical science (01.05.2011)“...Statistical Science 2011, Vol. 26, No. 2, 203-205 Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh [arXiv:1108.2120]...”
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19“...This article gives an account of a theoretical research subdivided into three parts. The first stage recalls the theorem of large numbers and the theorem a...”
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20“...Abduction is the process of generating and choosing models, hypotheses and data analyzed in response to surprising findings. All good empirical economists...”