Language: English / Subject: Statistics | Search Results

1. The Representation of Social Processes by Markov Models

: Singer, Burton; Spilerman, Seymour
: 1976
: Articles
: SociologyStatistics

2. Mathematical Representations of Development Theories

: Singer, Burton; Spilerman, Seymour
: 1979
: Chapters (Layout Features)
: Developmental psychologyStatistics

3. Learning to Believe in Sunspots

: Woodford, Michael
: 1990
: Articles
: EconomicsStatistics

4. A Note on Equivalence Classes of Directed Acyclic Independence Graphs

: Madigan, David B.
: 1993
: Articles
: MathematicsStatistics

5. [Bayesian Analysis in Expert Systems]: Comment: What's Next?

: Madigan, David B.
: 1993
: Articles
: MathematicsStatistics

6. A Characterization of Markov Equivalence Classes for Acyclic Digraphs

: Andersson, Steen A.; Madigan, David B.; Perlman, Michael D.
: 1997
: Articles
: MathematicsStatistics

7. Bayesian Model Averaging: a Tutorial (with Comments by M. Clyde, David Draper and E. I. George, and a Rejoinder by the Authors)

: Hoeting, Jennifer A.; Madigan, David B.; Raftery, Adrian E.; Volinsky, Chris T.; Clyde, M.; Draper, David; George, E. I.
: 1999
: Articles
: Statistics

8. Estimating Preferences under Risk: The Case of Racetrack Bettors

: Jullien, Bruno; Salanie, Bernard
: 2000
: Articles
: EconomicsStatistics

9. Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter

: Stodden, Victoria C.
: 2001
: Presentations (Communicative Events)
: Computer scienceStatistics

10. Separation and Completeness Properties for Amp Chain Graph Markov Models

: Levitz, Michael; Perlman, Michael D.; Madigan, David B.
: 2001
: Articles
: MathematicsStatistics

11. Book Reviews: Principles of Data Mining. By David Hand, Heikki Mannila, and Padhraic Smyth.

: Madigan, David B.
: 2002
: Reviews
: Statistics

12. Correction: Separation and completeness properties for AMP chain graph Markov models

: Madigan, David B.; Levitz, Michael; Perlman, Michael D.
: 2003
: Articles
: MathematicsStatistics

13. Fully Bayesian computing

: Kerman, Jouni; Gelman, Andrew E.
: 2004
: Articles
: Computer scienceStatisticsBayesian statistical decision theoryObject-oriented programming (Computer science)

14. [Least Angle Regression]: Discussion

: Madigan, David B.; Ridgeway, Greg
: 2004
: Articles
: MathematicsStatistics

15. Nine Justices Ten Years Statistical Retrospective

: Jackson, Robert J.; Vjgnarajah, Thiruvendran
: 2004
: Articles
: Law reports, digests, etc.LawStatisticsUnited States. Supreme Court

16. Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data

: Hill, Jennifer
: 2004
: Reports
: Social sciences--ResearchStatistics

17. What does "Do campaigns matter?" mean?

: Bafumi, Joseph; Gelman, Andrew E.; Park, David K.
: 2004
: Articles
: Political scienceStatisticsPresidents--Election

18. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?

: Donoho, David L.; Stodden, Victoria C.
: 2004
: Articles
: Statistics

19. Analysis of Variance of Cross-Validation Estimators of the Generalization Error

: Markatou, Marianthi; Tian, Hong; Biswas, Shameek; Hripcsak, George M.
: 2005
: Articles
: StatisticsArtificial intelligence

20. Assessing the predictability of extreme rainfall seasons over southern Africa

: Landman, Willem A.; Botes, Stephanie; Goddard, Lisa M.; Shongwe, Mxolisi
: 2005
: Articles
: Atmospheric circulationStatisticsPrecipitation forecastingAtmosphere

21. Multiscale Representations for Manifold-Valued Data

: Rahman, Inam Ur; Drori, Iddo; Stodden, Victoria C.; Donoho, David L.; Schroeder, Peter
: 2005
: Articles
: Statistics

22. PAGE: Parametric Analysis of Gene Set Enrichment

: Kim, Seon-Young; Volsky, David Julian
: 2005
: Articles
: Bioinformatics--MethodologyStatisticsDNA microarrays--Data processingBioinformaticsGeneticsBiometry

23. Predicting southern African summer rainfall using a combination of MOS and perfect prognosis

: Landman, Willem A.; Goddard, Lisa M.
: 2005
: Articles
: Atmospheric circulationStatisticsPrecipitation forecastingAtmosphere

24. R2WinBUGS: A Package for Running WinBUGS from R

: Sturtz, Sibylle; Ligges, Uwe; Gelman, Andrew E.
: 2005
: Articles
: Statistics

25. Sampling for Bayesian computation with large datasets

: Huang, Zaiying; Gelman, Andrew E.
: 2005
: Articles
: StatisticsBayesian statistical decision theoryCluster analysisMultilevel models (Statistics)

26. Statistical–Dynamical Seasonal Forecasts of Central-Southwest Asian Winter Precipitation

: Tippett, Michael K.; Goddard, Lisa M.; Barnston, Anthony G.
: 2005
: Articles
: Precipitation forecastingStatisticsClimatic changes--ForecastingAtmosphere

27. A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets

: Balakrishnan, Suhrid; Madigan, David B.
: 2006
: Articles
: MathematicsStatistics

28. Backward Genotype-Trait Association (BGTA)-Based Dissection of Complex Traits in Case-Control Designs

: Zheng, Tian; Wang, Hui; Lo, Shaw-Hwa
: 2006
: Articles
: StatisticsGeneticsBiometry

29. BAMarray™: Java software for Bayesian analysis of variance for microarray data

: Ishwaran, Hemant; Rao, J. Sunil; Kogalur, Udaya B.
: 2006
: Articles
: DNA microarrays--Data processingJava (Computer program language)BioinformaticsBayesian statistical decision theoryStatisticsInformation technology

30. Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations

: Donoho, David L.; Stodden, Victoria C.
: 2006
: Articles
: Statistics

31. Editorial: Special Section on Statistical and Perceptual Audio Processing

: Ellis, Daniel P. W.; Raj, Bhiksha; Brown, Judith C.; Slaney, Malcolm; Smaragdis, Paris
: 2006
: Articles
: StatisticsPsychophysiology

32. Fast l1 Minimization for Genomewide Analysis of mRNA Lengths

: Drori, Iddo; Stodden, Victoria C.; Hurowitz, Evan H.
: 2006
: Articles
: GeneticsStatistics

33. Fitting Multilevel Models When Predictors and Group Effects Correlate

: Bafumi, Joseph; Gelman, Andrew E.
: 2006
: Articles
: Statistics

34. How Many People Do You Know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks

: Zheng, Tian; Salganik, Matthew J.; Gelman, Andrew E.
: 2006
: Articles
: StatisticsSocial sciences--Research

35. Location Estimation in Wireless Networks: A Bayesian Approach

: Madigan, David B.; Ju, Wen-Hua; Krishnan, P.; Krishnakumar, A. S.; Zorych, Ivan
: 2006
: Articles
: MathematicsStatistics

36. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification

: Ding, Yuejing; Zheng, Tian
: 2006
: Reports
: Statistics

37. Using individual growth model to analyze the change in quality of life from adolescence to adulthood

: Chen, Henian; Cohen, Patricia R.
: 2006
: Articles
: Human growth--Mathematical modelsQuality of life--Statistical methodsYoung adults--Health and hygieneMedical sciencesAgingStatistics

38. A Flexible Bayesian Generalized Linear Model for Dichotomous Response Data with an Application to Text Categorization

: Eyheramendy, Susana; Madigan, David B.
: 2007
: Chapters (Layout Features)
: MathematicsStatistics

39. Bayes: Radical, liberal, or conservative?

: Gelman, Andrew E.
: 2007
: Articles
: Political scienceMathematical statisticsStatistics

40. Comment: Bayesian Checking of the Second Levels of Hierarchical Models

: Gelman, Andrew E.
: 2007
: Articles
: Political scienceMathematical statisticsStatistics

41. Conditional Exceedance Probabilities

: Mason, Simon J.; Galpin, Jacqueline S.; Goddard, Lisa M.; Graham, Nicholas E.; Rajaratnam, Balakanapathy
: 2007
: Articles
: Climatic changes--Mathematical modelsStatisticsClimatic changes--ForecastingAtmosphere

42. Going beyond the book: Toward critical reading in statistics teaching

: Gelman, Andrew E.
: 2007
: Reports
: Political scienceStatisticsLeft- and right-handednessMenstruationTraffic accidents

43. Rejoinder: Struggles with survey weighting and regression modeling

: Gelman, Andrew E.
: 2007
: Articles
: Political scienceMathematical statisticsStatistics

44. Rich state, poor state, red state, blue state: What's the matter with Connecticut?

: Gelman, Andrew E.; Shor, Boris; Bafumi, Joseph; Park, David K.
: 2007
: Articles
: Political scienceMathematical statisticsStatistics

45. Struggles with survey weighting and regression modeling

: Gelman, Andrew E.
: 2007
: Articles
: Political scienceMathematical statisticsStatistics

46. Why we (usually) don't have to worry about multiple comparisons

: Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
: 2007
: Presentations (Communicative Events)
: Statistics

47. Algorithms for Sparse Linear Classifiers in the Massive Data Setting

: Balakrishnan, Suhrid; Madigan, David B.; Bartlett, Peter
: 2008
: Articles
: StatisticsArtificial intelligence

48. Analyzing Postdisaster Surveillance Data: The Effect of the Statistical Method

: DiMaggio, Charles J.; Galea, Sandro; Abramson, David M.
: 2008
: Articles
: Emergency managementStatistics

49. Bayesian hierarchical classes analysis

: Leenen, Iwin; Mechelen, Iven van; Gelman, Andrew E.; Knop, Stijn de
: 2008
: Articles
: Statistics

50. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies

: Zheng, Tian; Lo, Shaw-Hwa
: 2008
: Articles
: Statistics

Academic Commons

Refine your search

Search Constraints

Search Results

1. The Representation of Social Processes by Markov Models

2. Mathematical Representations of Development Theories

3. Learning to Believe in Sunspots

4. A Note on Equivalence Classes of Directed Acyclic Independence Graphs

5. [Bayesian Analysis in Expert Systems]: Comment: What's Next?

6. A Characterization of Markov Equivalence Classes for Acyclic Digraphs

7. Bayesian Model Averaging: a Tutorial (with Comments by M. Clyde, David Draper and E. I. George, and a Rejoinder by the Authors)

8. Estimating Preferences under Risk: The Case of Racetrack Bettors

9. Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter

10. Separation and Completeness Properties for Amp Chain Graph Markov Models

11. Book Reviews: Principles of Data Mining. By David Hand, Heikki Mannila, and Padhraic Smyth.

12. Correction: Separation and completeness properties for AMP chain graph Markov models

13. Fully Bayesian computing

14. [Least Angle Regression]: Discussion

15. Nine Justices Ten Years Statistical Retrospective

16. Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data

17. What does "Do campaigns matter?" mean?

18. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?

19. Analysis of Variance of Cross-Validation Estimators of the Generalization Error

20. Assessing the predictability of extreme rainfall seasons over southern Africa

21. Multiscale Representations for Manifold-Valued Data

22. PAGE: Parametric Analysis of Gene Set Enrichment

23. Predicting southern African summer rainfall using a combination of MOS and perfect prognosis

24. R2WinBUGS: A Package for Running WinBUGS from R

25. Sampling for Bayesian computation with large datasets

26. Statistical–Dynamical Seasonal Forecasts of Central-Southwest Asian Winter Precipitation

27. A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets

28. Backward Genotype-Trait Association (BGTA)-Based Dissection of Complex Traits in Case-Control Designs

29. BAMarray™: Java software for Bayesian analysis of variance for microarray data

30. Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations

31. Editorial: Special Section on Statistical and Perceptual Audio Processing

32. Fast l1 Minimization for Genomewide Analysis of mRNA Lengths

33. Fitting Multilevel Models When Predictors and Group Effects Correlate

34. How Many People Do You Know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks

35. Location Estimation in Wireless Networks: A Bayesian Approach

36. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification

37. Using individual growth model to analyze the change in quality of life from adolescence to adulthood

38. A Flexible Bayesian Generalized Linear Model for Dichotomous Response Data with an Application to Text Categorization

39. Bayes: Radical, liberal, or conservative?

40. Comment: Bayesian Checking of the Second Levels of Hierarchical Models

41. Conditional Exceedance Probabilities

42. Going beyond the book: Toward critical reading in statistics teaching

43. Rejoinder: Struggles with survey weighting and regression modeling

44. Rich state, poor state, red state, blue state: What's the matter with Connecticut?

45. Struggles with survey weighting and regression modeling

46. Why we (usually) don't have to worry about multiple comparisons

47. Algorithms for Sparse Linear Classifiers in the Massive Data Setting

48. Analyzing Postdisaster Surveillance Data: The Effect of the Statistical Method

49. Bayesian hierarchical classes analysis

50. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies