Academic Unit: Statistics / Language: English | Search Results

1. About SparseLab

: Donoho, David L.; Stodden, Victoria C.; Tsaig, Yaakov
: 2007
: Reports
: Communication of technical informationComputer science

2. A Brief History of the Reproducibility Movement

: Stodden, Victoria C.
: 2012
: Presentations (Communicative Events)
: Communication of technical informationComputer science

3. A Characterization of Markov Equivalence Classes for Acyclic Digraphs

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

4. A continuous morphological approach to study the evolution of pollen in a phylogenetic context: An example with the order Myrtales

: Kriebel, Ricardo; Khabbazian, Mohammad Hassan; Sytsma, Kenneth J.
: 2017
: Articles
: PhylogenyPollen--MorphologyMyrtalesBotanyStatistics

5. A demonstration and findings of a statistical approach through reanalysis of inflammatory bowel disease data

: Lo, Shaw-Hwa; Zheng, Tian
: 2004
: Articles
: BiometryGenetics

6. A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits

: Lui, Ying; Huang, Chien-Hsun; Hu, Inchi; Zheng, Tian; Lo, Shaw-Hwa
: 2014
: Articles
: GeneticsBiometry

7. Advances in Credit Risk Modeling

: Neuberg, Richard
: 2017
: Theses
: Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance

8. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience

: Loaiza Ganem, Gabriel
: 2019
: Theses
: StatisticsMachine learningComputer simulationNeurosciences--Data processingNeural networks (Computer science)Digital images

9. Advances in Machine Learning for Complex Structured Functional Data

: Tang, Chengliang
: 2022
: Theses
: StatisticsMachine learning--Statistical methodsStatistical functionals

10. Advances in Machine Learning for Compositional Data

: Gordon Rodriguez, Elliott
: 2022
: Theses
: StatisticsMachine learning--Statistical methodsGeochemistryBacteriology

11. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems

: Franco Saldana, Diego
: 2016
: Theses
: Linear models (Statistics)ProbabilitiesProportional hazards modelsStatistics

12. Advances in Statistical Machine Learning Methods for Neural Data Science

: Zhou, Ding
: 2021
: Theses
: StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging

13. 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

14. A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery

: Nurse, Ewan S.; Karoly, Philippa J.; Grayden, David B.; Freestone, Dean R.
: 2015
: Articles
: Brain-computer interfacesElectroencephalography--Computer programsMachine learningNeuronsNeural networks (Computer science)Neurosciences

15. A Global Empirical Evaluation of New Communication Technology Use and Democratic Tendency

: Stodden, Victoria C.
: 2009
: Articles
: InternetPolitical science

16. A Graphon-based Framework for Modeling Large Networks

: He, Ran
: 2015
: Theses
: StatisticsAlgorithmsNetwork analysis (Planning)--Mathematical models

17. A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction

: McCormick, Tyler H.; Rudin, Cynthia; Madigan, David B.
: 2011
: Articles
: MathematicsStatisticsMedicine

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

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

19. Analysis of genotype by methylation interactions through sparsity-inducing regularized regression

: Zhou, Wenda; Lo, Shaw-Hwa
: 2018
: Articles
: Quantitative researchDNA--MethylationGenetics

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

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

21. An Assortment of Unsupervised and Supervised Applications to Large Data

: Agne, Michael Robert
: 2015
: Theses
: StatisticsBiometry

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

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

23. A note on QTL detecting for censored traits

: Fang, Yixin
: 2006
: Articles
: Censored observations (Statistics)Genetics--Mathematical modelsGeneticsBiometry

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

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

25. A partition-based approach to identify gene-environment interactions in genome wide association studies

: Fan, Ruixue; Huang, Chien-Hsun; Hu, Inchi; Wang, Haitan; Zheng, Tian; Lo, Shaw-Hwa
: 2014
: Articles
: GeneticsBiometry

26. A Point Process Model for the Dynamics of Limit Order Books

: Vinkovskaya, Ekaterina
: 2014
: Theses
: Statistics

27. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks

: Wan, Phyllis
: 2018
: Theses
: StatisticsAnalysis of covarianceTime-series analysis--Mathematical modelsMultivariate analysisSystem analysis

28. A Practical Guide to Measuring Social Structure Using Indirectly Observed Network Data

: McCormick, Tyler H.; Moussa, Amal; DiPrete, Thomas A.; Ruf, Johannes; Gelman, Andrew E.; Teitler, Julien O.; Zheng, Tian
: 2013
: Articles
: StatisticsSocial sciences--Research

29. [A Report on the Future of Statistics]: Comment

: Madigan, David B.; Stuetzle, Werner
: 2004
: Articles
: Mathematics--Study and teachingEducation, Higher

30. A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions

: Fan, Ruixue; Lo, Shaw-Hwa
: 2013
: Articles
: Genotype-environment interactionAllelomorphismGenetics

31. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach

: Liu, Ying; Huang, Chien-Hsun; Hu, Inchi; Zheng, Tian; Lo, Shaw-Hwa
: 2011
: Articles
: GeneticsBiometry

32. Asymptotic Theory and Applications of Random Functions

: Li, Xiaoou
: 2016
: Theses
: Monte Carlo methodDifferential equations, PartialDifferential equations, Partial--Asymptotic theoryMathematical statisticsStatistics

33. A unified view of high-dimensional bridge regression

: Weng, Haolei
: 2017
: Theses
: StatisticsRegression analysisMathematics

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

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

35. Backward Haplotype Transmission Association (BHTA) Algorithm-A Fast Multiple-Marker Screening Method

: Lo, Shaw-Hwa; Zheng, Tian
: 2002
: Articles
: BiometryGenetics

36. 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

37. Basics of Intellectual Property for Computational Scientists

: Stodden, Victoria C.
: 2011
: Presentations (Communicative Events)
: Communication of technical informationInformation science

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

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

39. Bayesian Combination of State Polls and Election Forecasts

: Lock, Kari; Gelman, Andrew E.
: 2010
: Articles
: Political scienceStatisticsBayesian statistical decision theory

40. Bayesian hierarchical classes analysis

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

41. Bayesian hierarchical graph-structured model for pathway analysis using gene expression data

: Zhou, Hui; Zheng, Tian
: 2013
: Articles
: BiometryGenetics

42. Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions

: McCormick, Tyler H.; Rudin, Cynthia; Madigan, David B.
: 2012
: Articles
: MathematicsStatisticsMedicine

43. Bayesian hierarchical vector autoregressive models for patient-level predictive modeling

: Lu, Feihan; Zheng, Yao; Cleveland, Harrington; Burton, Chris; Madigan, David B.
: 2018
: Articles
: Preventive health servicesBayesian statistical decision theory--Mathematical modelsAutoregression (Statistics)Medical care

44. 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

45. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

: Lu, Feihan
: 2018
: Theses
: StatisticsBayesian statistical decision theoryData structures (Computer science)Neurosciences--Data processingMedicine--Data processing

46. Bayesian Model Selection in terms of Kullback-Leibler discrepancy

: Zhou, Shouhao
: 2011
: Theses
: Statistics

47. Bayesian Statistical Pragmatism

: Gelman, Andrew E.
: 2011
: Articles
: Statistics

48. Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics

: Gelman, Andrew E.
: 2009
: Articles
: Political scienceMathematical statisticsStatistics

49. Bayes: Radical, liberal, or conservative?

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

50. Bifurcation analysis of two coupled Jansen-Rit neural mass models

: Ahmadizadeh, Saeed; Karoly, Philippa J.; Nešić, Dragan; Grayden, David B.; Cook, Mark J.; Soudry, Daniel; Freestone, Dean R.
: 2018
: Articles
: Bifurcation theoryNeurologyNeural circuitryEpilepsy--PathophysiologyNeural networks (Neurobiology)Statistics

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1. About SparseLab

2. A Brief History of the Reproducibility Movement

3. A Characterization of Markov Equivalence Classes for Acyclic Digraphs

4. A continuous morphological approach to study the evolution of pollen in a phylogenetic context: An example with the order Myrtales

5. A demonstration and findings of a statistical approach through reanalysis of inflammatory bowel disease data

6. A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits

7. Advances in Credit Risk Modeling

8. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience

9. Advances in Machine Learning for Complex Structured Functional Data

10. Advances in Machine Learning for Compositional Data

11. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems

12. Advances in Statistical Machine Learning Methods for Neural Data Science

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

14. A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery

15. A Global Empirical Evaluation of New Communication Technology Use and Democratic Tendency

16. A Graphon-based Framework for Modeling Large Networks

17. A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction

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

19. Analysis of genotype by methylation interactions through sparsity-inducing regularized regression

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

21. An Assortment of Unsupervised and Supervised Applications to Large Data

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

23. A note on QTL detecting for censored traits

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

25. A partition-based approach to identify gene-environment interactions in genome wide association studies

26. A Point Process Model for the Dynamics of Limit Order Books

27. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks

28. A Practical Guide to Measuring Social Structure Using Indirectly Observed Network Data

29. [A Report on the Future of Statistics]: Comment

30. A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions

31. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach

32. Asymptotic Theory and Applications of Random Functions

33. A unified view of high-dimensional bridge regression

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

35. Backward Haplotype Transmission Association (BHTA) Algorithm-A Fast Multiple-Marker Screening Method

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

37. Basics of Intellectual Property for Computational Scientists

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

39. Bayesian Combination of State Polls and Election Forecasts

40. Bayesian hierarchical classes analysis

41. Bayesian hierarchical graph-structured model for pathway analysis using gene expression data

42. Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions

43. Bayesian hierarchical vector autoregressive models for patient-level predictive modeling

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

45. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

46. Bayesian Model Selection in terms of Kullback-Leibler discrepancy

47. Bayesian Statistical Pragmatism

48. Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics

49. Bayes: Radical, liberal, or conservative?

50. Bifurcation analysis of two coupled Jansen-Rit neural mass models