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1

Toward Rational Social Decisions: A Review and Some Results

Kadane, Joseph B., MacEachern, Steven N.

Journal:

Bayesian Analysis

Year:

2014

Language:

english

File:

PDF, 311 KB

english, 2014

2

Sequential sampling models of choice: Some recent advances

Thomas Otter, Joe Johnson, Jörg Rieskamp, Greg M. Allenby, Jeff D. Brazell, Adele Diederich, J. Wesley Hutchinson, Steven MacEachern, Shiling Ruan, Jim Townsend

Journal:

Marketing Letters

Year:

2008

Language:

english

File:

PDF, 170 KB

english, 2008

3

Aperiodic Chaotic Orbit

Steven N. MacEachern and L. Mark Berliner

Journal:

American Mathematical Monthly

Year:

1993

Language:

english

File:

PDF, 533 KB

english, 1993

4

Seventh Tri-Annual Choice Symposium || Sequential sampling models of choice: Some recent advances

Thomas Otter, Joe Johnson, Jörg Rieskamp, Greg M. Allenby, Jeff D. Brazell, Adele Diederich, J. Wesley Hutchinson, Steven MacEachern, Shiling Ruan and Jim Townsend

Journal:

Marketing Letters

Year:

2008

Language:

english

File:

PDF, 1.15 MB

english, 2008

5

A class of generalized linear mixed models adjusted for marginal interpretability

Gory, Jeffrey J., Craigmile, Peter F., MacEachern, Steven N.

Journal:

Statistics in Medicine

Year:

2020

File:

PDF, 814 KB

2020

6

Low cancer incidence rates in Ohio Amish

Judith A. Westman, Amy K. Ferketich, Ross M. Kauffman, Steven N. MacEachern, J. R. Wilkins, Patricia P. Wilcox, Robert T. Pilarski, Rebecca Nagy, Stanley Lemeshow, Albert de la Chapelle, Clara D. Bloo

Journal:

Cancer Causes & Control

Year:

2010

Language:

english

File:

PDF, 346 KB

english, 2010

7

An Easy Ridiculous Unbiased Estimator

Steven MacEachern, Elizabeth A. Stasny

Journal:

Teaching Statistics

Year:

1993

Language:

english

File:

PDF, 278 KB

english, 1993

8

Minimally informative prior distributions for non-parametric Bayesian analysis

Christopher A. Bush, Juhee Lee, Steven N. MacEachern

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2010

Language:

english

File:

PDF, 675 KB

english, 2010

9

Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing

Gelfand, Alan E, Kottas, Athanasios, MacEachern, Steven N

Journal:

Journal of the American Statistical Association

Year:

2005

Language:

english

File:

PDF, 1.91 MB

english, 2005

10

Nonparametric Two-Sample Methods for Ranked-Set Sample Data

Michael A. Fligner and Steven N. MacEachern

Journal:

Journal of the American Statistical Association

Year:

2006

Language:

english

File:

PDF, 1.62 MB

english, 2006

11

Modeling Non-Gaussian Time Series with Nonparametric Bayesian Model

Xu, Zhiguang, MacEachern, Steven, Xu, Xinyi

Journal:

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year:

2015

Language:

english

File:

PDF, 465 KB

english, 2015

12

Subsampling the Gibbs Sampler

Steven N. MacEachern and L. Mark Berliner

Journal:

The American Statistician

Year:

1994

Language:

english

File:

PDF, 543 KB

english, 1994

13

Local-Mass Preserving Prior Distributions for Nonparametric Bayesian Models

Lee, Juhee, MacEachern, Steven N., Lu, Yiling, Mills, Gordon B.

Journal:

Bayesian Analysis

Year:

2014

Language:

english

File:

PDF, 495 KB

english, 2014

14

Estimating normal means with a conjugate style dirichlet process prior

Maceachern, Steven N.

Journal:

Communications in Statistics - Simulation and Computation

Year:

1994

Language:

english

File:

PDF, 506 KB

english, 1994

15

Regularization of Case-Specific Parameters for Robustness and Efficiency

Yoonkyung Lee, Steven N. MacEachern and Yoonsuh Jung

Journal:

Statistical Science

Year:

2012

Language:

english

File:

PDF, 3.56 MB

english, 2012

16

Regularization of Case-Specific Parameters for Robustness and Efficiency

Lee, Yoonkyung, MacEachern, Steven N., Jung, Yoonsuh

Journal:

Statistical Science

Year:

2012

Language:

english

File:

PDF, 554 KB

english, 2012

17

Aperiodic Chaotic Orbits

MacEachern, Steven N., Berliner, L. Mark

Journal:

American Mathematical Monthly

Year:

1993

Language:

english

File:

PDF, 517 KB

english, 1993

18

Parametric and semiparametric hypotheses in the linear model

Steven N. MacEachern, Subharup Guha

Journal:

Canadian Journal of Statistics

Year:

2011

Language:

english

File:

PDF, 243 KB

english, 2011

19

Examples of inconsistent Bayes procedures based on observations on dynamical systems

L.Mark Berliner, Steven N. MacEachern

Journal:

Statistics & Probability Letters

Year:

1993

Language:

english

File:

PDF, 386 KB

english, 1993

20

Asymptotic inference for dynamical systems observed with error

Steven N. MacEachern, L.Mark Berliner

Journal:

Journal of Statistical Planning and Inference

Year:

1995

Language:

english

File:

PDF, 806 KB

english, 1995

21

Consistency of Bayes estimators without the assumption that the model is correct

Juhee Lee, Steven N. MacEachern

Journal:

Journal of Statistical Planning and Inference

Year:

2011

Language:

english

File:

PDF, 201 KB

english, 2011

22

Subsampling the Gibbs sampler: variance reduction

Steven N. MacEachern, Mario Peruggia

Journal:

Statistics & Probability Letters

Year:

2000

Language:

english

File:

PDF, 99 KB

english, 2000

23

Order restricted randomized designs for control versus treatment comparison

Omer Ozturk, Steven N. MacEachern

Journal:

Annals of the Institute of Statistical Mathematics

Year:

2004

Language:

english

File:

PDF, 1.14 MB

english, 2004

24

Order restricted randomized designs and two sample inference

Omer Ozturk, Steven N. MacEachern

Journal:

Environmental and Ecological Statistics

Year:

2007

Language:

english

File:

PDF, 260 KB

english, 2007

25

The Dependent Poisson Race Model and Modeling Dependence in

Shiling Ruan, Steven N. MacEachern, Thomas Otter, Angela M. Dean

Journal:

Year:

2008

Language:

english

File:

PDF, 386 KB

english, 2008

26

A new ranked set sample estimator of variance

Steven N. MacEachern, Ömer Öztürk, Douglas A. Wolfe, Gregory V. Stark

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2002

Language:

english

File:

PDF, 128 KB

english, 2002

27

Judgement Post-Stratification with Imprecise Rankings

Steven N. MacEachern, Elizabeth A. Stasny, Douglas A. Wolfe

Journal:

Year:

2004

Language:

english

File:

PDF, 170 KB

english, 2004

28

A nonparametric Bayesian model for inference in related longitudinal studies

Peter Müller, Gary L. Rosner, Maria De Iorio, Steven MacEachern

Journal:

Journal of the Royal Statistical Society: Series C (Applied Statistics)

Year:

2005

Language:

english

File:

PDF, 228 KB

english, 2005

29

Judgement Post-Stratification for Designed Experiments

Juan Du, Steven N. MacEachern

Journal:

Year:

2008

Language:

english

File:

PDF, 220 KB

english, 2008

30

Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation

Steven N. MacEachern, Merlise Clyde and Jun S. Liu

Journal:

Canadian Journal of Statistics

Year:

1999

Language:

english

File:

PDF, 897 KB

english, 1999

31

Prior Elicitation in the Classification Problem

Craig A. Cooley and Steven N. MacEachern

Journal:

Canadian Journal of Statistics

Year:

1999

Language:

english

File:

PDF, 764 KB

english, 1999

32

Bayesian Variable Selection for Proportional Hazards Models

Joseph G. Ibrahim, Ming-Hui Chen and Steven N. MacEachern

Journal:

Canadian Journal of Statistics

Year:

1999

Language:

english

File:

PDF, 1.21 MB

english, 1999

33

Bayesian Models for Non-linear Autoregressions

Peter Müller, Mike West, Steven MacEachern

Journal:

Journal of Time Series Analysis

Year:

1997

Language:

english

File:

PDF, 980 KB

english, 1997

34

Inference Based on General Linear Models for Order Restricted Randomization

Ozturk, Omer, Maceachern, Steven N.

Journal:

Communication in Statistics- Theory and Methods

Year:

2013

Language:

english

File:

PDF, 386 KB

english, 2013

35

Classification via Kernel Product Estimators

Craig A. Cooley and Steven N. MacEachern

Journal:

Year:

1998

Language:

english

File:

PDF, 1005 KB

english, 1998

36

A Semiparametric Bayesian Model for Randomised Block Designs

Christopher A. Bush and Steven N. MacEachern

Journal:

Year:

1996

Language:

english

File:

PDF, 1008 KB

english, 1996

37

Monte Carlo Methods in Bayesian Computationby Ming-Hui Chen; Qi-Man Shao; Joseph G. Ibrahim

Review by: Steven N. MacEachern

Journal:

Year:

2001

Language:

english

File:

PDF, 442 KB

english, 2001

38

Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior: Comment

Steven N. MacEachern and Xiaotong Shen

Journal:

Journal of the American Statistical Association

Year:

1999

Language:

english

File:

PDF, 733 KB

english, 1999

39

An ANOVA Model for Dependent Random Measures

Maria De Iorio, Peter Müller, Gary L. Rosner and Steven N. MacEachern

Journal:

Journal of the American Statistical Association

Year:

2004

Language:

english

File:

PDF, 2.27 MB

english, 2004

40

Bayesian Nonparametric Spatial Modeling with Dirichlet Process Mixing

Alan E. Gelfand, Athanasios Kottas and Steven N. MacEachern

Journal:

Journal of the American Statistical Association

Year:

2005

Language:

english

File:

PDF, 1.91 MB

english, 2005

41

Introduction to Statistical Throughtby Michael Lavine

Review by: Steven N. MacEachern

Journal:

Journal of the American Statistical Association

Year:

2006

Language:

english

File:

PDF, 300 KB

english, 2006

42

Generalized Poststratification and Importance Sampling for Subsampled Markov Chain Monte Carlo Estimation

Subharup Guha and Steven N. MacEachern

Journal:

Journal of the American Statistical Association

Year:

2006

Language:

english

File:

PDF, 1.49 MB

english, 2006

43

A Robust-Likelihood Cumulative Sum Chart

Steven N. MacEachern, Youlan Rao and Chunjie Wu

Journal:

Journal of the American Statistical Association

Year:

2007

Language:

english

File:

PDF, 1.05 MB

english, 2007

44

The Nested Dirichlet Process [with Comments and Rejoinder]

Abel Rodríguez, David B. Dunson, Alan E. Gelfand, Daniel L. Gillen, Wesley O. Johnson, Peter Müller, Luis Nieto-Barajas, Kaushik Ghosh, Pulak Ghosh, Ram C. Tiwari, Steven N. Maceachern and Lancelot F.

Journal:

Journal of the American Statistical Association

Year:

2008

Language:

english

File:

PDF, 3.39 MB

english, 2008

45

Low Cancer Incidence Rates in Ohio Amish

Judith A. Westman, Amy K. Ferketich, Ross M. Kauffman, Steven N. MacEachern, J. R. Wilkins, III, Patricia P. Wilcox, Robert T. Pilarski, Rebecca Nagy, Stanley Lemeshow, Albert de la Chapelle and Clara

Journal:

Cancer Causes & Control

Year:

2010

Language:

english

File:

PDF, 1.19 MB

english, 2010

46

Estimating Mixture of Dirichlet Process Models

Steven N. MacEachern and Peter Müller

Journal:

Journal of Computational and Graphical Statistics

Year:

1998

Language:

english

File:

PDF, 536 KB

english, 1998

47

Benchmark Estimation for Markov Chain Monte Carlo Samples

Subharup Guha, Steven N. MacEachern and Mario Peruggia

Journal:

Journal of Computational and Graphical Statistics

Year:

2004

Language:

english

File:

PDF, 509 KB

english, 2004

48

Judgement Post-Stratification with Imprecise Rankings

Steven N. MacEachern, Elizabeth A. Stasny and Douglas A. Wolfe

Journal:

Year:

2004

Language:

english

File:

PDF, 1.82 MB

english, 2004

49

Generalized Poststratification and Importance Sampling for Subsampled Markov Chain Monte Carlo Estimation

Guha, Subharup, MacEachern, Steven N

Journal:

Journal of the American Statistical Association

Year:

2006

Language:

english

File:

PDF, 331 KB

english, 2006

50

Comment

Maceachern, Steven N., Shen, Xiaotong

Journal:

Journal of the American Statistical Association

Year:

1999

Language:

english

File:

PDF, 494 KB

english, 1999