Journal of Statistical Theory and Practice Webinars

Journal of Statistical Theory and Practice Webinars

Springer Nature

Journal of Statistical Theory and Practice

The Journal of Statistical Theory and Practice is a broad-based journal encouraging submission of original research papers, significant review articles, and book reviews in statistical sciences.

Speakers
Community
Professor David Banks
Prof Frank Coolen
Prof. Wei Ning
Prof. Sujit Ghosh PhD
Asst. Prof. Théo Michelot
Sat Gupta
Dr Pujita Sapra
Abhyuday Mandal
Dr Pin Wu
Professor David Banks
Dr Ben Kaube
Dr. sadia khalil
Prof. Peter Vincent
Dr. Wei Ning
Sat Gupta
+243
Journal of Statistical Theory and Practice
Journal of Statistical Theory and Practice
Innovative Approaches to Sensitive Question Surveys: A Hybrid Binary Model Using Paillier Encryption and Randomized Response Techniques
Nov 2024
Keynote
High Point University

Innovative Approaches to Sensitive Question Surveys: A Hybrid Binary Model Using Paillier Encryption and Randomized Response Techniques

Pujita Sapra, High Point University
When Less is More? Entropy Based Subsampling for Big Data
Jul 2024
Keynote
North Carolina State University

When Less is More? Entropy Based Subsampling for Big Data

Sujit Ghosh, North Carolina State University
A Ratio Estimator for the of Mean of a Sensitive Variable in the Presence of Lack of Trust in RRT and Measurement Errors
May 2024
Keynote
University of North Carolina at Greensboro

A Ratio Estimator for the of Mean of a Sensitive Variable in the Presence of Lack of Trust in RRT and Measurement Errors

Sat Gupta, University of North Carolina at Greensboro
Flexible hidden Markov models using hmmTMB and applications in ecology
Nov 2023
Keynote
Dalhousie University

Flexible hidden Markov models using hmmTMB and applications in ecology

Théo Michelot, Dalhousie University
Multivariate Dependence beyond Correlation: Nonparametric Copulas
Oct 2023
Keynote
North Carolina State University

Multivariate Dependence beyond Correlation: Nonparametric Copulas

Sujit Ghosh, North Carolina State University
Confidence Distributions for Skew Normal Change Point Model Based on Modified Information Criterion
Aug 2023
Keynote
Bowling Green State University

Confidence Distributions for Skew Normal Change Point Model Based on Modified Information Criterion

Wei Ning, Bowling Green State University
Reproducibility of Statistical Hypothesis Tests
May 2023
Keynote
Durham University

Reproducibility of Statistical Hypothesis Tests

Frank Coolen, Durham University
Statistical Aspects of Deep Learning
Mar 2023
Keynote
Duke University

Statistical Aspects of Deep Learning

David Banks , Duke University