SGJ Senarathne

About SGJ Senarathne

SGJ Senarathne, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Peradeniya, specializes in the field of Bayesian Statistics, Experimental Design, Bayesian sequential design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Examine the reliability of econometrics software: An empirical comparison of time series modelling

Macroeconomic Determinants of Stock Market Performances in Sri Lanka

Prediction and assessment of stream water quality by considering multiple water quality parameters

Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring

Experimental design for dependent data

Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects

A Laplace-based algorithm for Bayesian adaptive design

Bayesian sequential design for Copula models

SGJ Senarathne Information

University

Position

Temporary Senior Lecturer Department of Statistics and Computer Science

Citations(all)

29

Citations(since 2020)

27

Cited By

11

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

2

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

SGJ Senarathne Skills & Research Interests

Bayesian Statistics

Experimental Design

Bayesian sequential design

Top articles of SGJ Senarathne

Title

Journal

Author(s)

Publication Date

Examine the reliability of econometrics software: An empirical comparison of time series modelling

Open Journal of Statistics

Wickramasinghage MA Wickramasinghe

Parana PAW Athukorala

Siththara GJ Senarathne

Yapa PRD Yapa

2023/2/17

Macroeconomic Determinants of Stock Market Performances in Sri Lanka

Ghanaian Journal of Economics

Nana K Akosah

2016/12/1

Prediction and assessment of stream water quality by considering multiple water quality parameters

Asian Journal of Probability and Statistics

SGJ Senarathne

AWLP Thilan

2023

Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring

Biometrical journal

SGJ Senarathne

Werner G Müller

James M McGree

2023

Experimental design for dependent data

Bulletin of the Australian Mathematical Society

SGJ Senarathne

2021/8

Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects

Statistics in Medicine

Siththara Gedara J Senarathne

Antony M Overstall

James M McGree

2020/12/20

A Laplace-based algorithm for Bayesian adaptive design

Statistics and Computing

SGJ Senarathne

CC Drovandi

JM McGree

2020/9

Bayesian sequential design for Copula models

TEST

SGJ Senarathne

Christopher C Drovandi

JM McGree

2020/6

Bayesian design for minimising uncertainty in spatial processes

arXiv preprint arXiv:2001.08308

SGJ Senarathne

WG Müller

JM McGree

2020/1

See List of Professors in SGJ Senarathne University(University of Peradeniya)

Co-Authors

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