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Matthew D Koslovsky

Showing results (1-10 of 17) with videos related to

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Biometrics|March 10, 2023
A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count dataMatthew D Koslovsky
BMC Bioinformatics|February 27, 2025
Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial modelMatthew D Koslovsky
BMC Bioinformatics|July 15, 2020
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R packageMatthew D Koslovsky, Marina Vannucci
BMC Bioinformatics|December 29, 2020
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R packageMatthew D Koslovsky, Marina Vannucci
Biometrics|September 23, 2025
A Bayesian semiparametric mixture model for clustering zero-inflated microbiome dataSuppapat Korsurat, Matthew D Koslovsky
Biostatistics (Oxford, England)|July 1, 2026
A Bayesian functional concurrent zero-inflated Dirichlet-multinomial regression model with application to infant microbiomeBrody Erlandson, Ander Wilson, Matthew D Koslovsky
Statistics in Medicine|May 12, 2023
A Bayesian joint model for compositional mediation effect selection in microbiome dataJingyan Fu, Matthew D Koslovsky, Andreas M Neophytou, et al.
The Annals of Applied Statistics|April 7, 2022
A BAYESIAN TIME-VARYING EFFECT MODEL FOR BEHAVIORAL MHEALTH DATAMatthew D Koslovsky, Emily T Hébert, Michael S Businelle, et al.
Bayesian Analysis|October 28, 2024
Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction PriorsMingrui Liang, Matthew D Koslovsky, Emily T Hébert, et al.
Psychological Methods|December 20, 2021
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement errorMingrui Liang, Matthew D Koslovsky, Emily T Hébert, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Biometrics|March 10, 2023
A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count dataMatthew D Koslovsky
BMC Bioinformatics|February 27, 2025
Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial modelMatthew D Koslovsky
BMC Bioinformatics|July 15, 2020
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R packageMatthew D Koslovsky, Marina Vannucci
BMC Bioinformatics|December 29, 2020
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R packageMatthew D Koslovsky, Marina Vannucci
Biometrics|September 23, 2025
A Bayesian semiparametric mixture model for clustering zero-inflated microbiome dataSuppapat Korsurat, Matthew D Koslovsky
Biostatistics (Oxford, England)|July 1, 2026
A Bayesian functional concurrent zero-inflated Dirichlet-multinomial regression model with application to infant microbiomeBrody Erlandson, Ander Wilson, Matthew D Koslovsky
Statistics in Medicine|May 12, 2023
A Bayesian joint model for compositional mediation effect selection in microbiome dataJingyan Fu, Matthew D Koslovsky, Andreas M Neophytou, et al.
The Annals of Applied Statistics|April 7, 2022
A BAYESIAN TIME-VARYING EFFECT MODEL FOR BEHAVIORAL MHEALTH DATAMatthew D Koslovsky, Emily T Hébert, Michael S Businelle, et al.
Bayesian Analysis|October 28, 2024
Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction PriorsMingrui Liang, Matthew D Koslovsky, Emily T Hébert, et al.
Psychological Methods|December 20, 2021
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement errorMingrui Liang, Matthew D Koslovsky, Emily T Hébert, et al.
Pageof 2