Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data-Reference-Cited by-同舟云学术

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Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data

Published:2023-01-09 Issue: Volume: Page:1-9
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Christoffersen Benjamin¹²³^ORCID,Mahjani Behrang²⁴,Clements Mark²³,Kjellström Hedvig¹³,Humphreys Keith²³

Affiliation:

1. Division of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden

2. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden

3. Swedish e-Science Research Center (SeRC), Stockholm, Sweden

4. Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY

Funder

the Swedish Research Council

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2151454

Reference47 articles.

1. Association of Genetic and Environmental Factors With Autism in a 5-Country Cohort

2. The normal law under linear restrictions: simulation and estimation via minimax tilting

3. Approximate Inference in Generalized Linear Mixed Models

4. Applied Mixed Models in Medicine

5. Buluç, A., Meyerhenke, H., Safro, I., Sanders, P., and Schulz, C. (2016), Recent Advances in Graph Partitioning, pp. 117–158, Cham: Springer.

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