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Michael Schwob

@michaelschwob.bsky.social

PhD Student at UT Austin | Spatio-Temporal Statistician | Ecological Statistics | Sci-fi and Comedy Fan

421 Followers  |  171 Following  |  6 Posts  |  Joined: 22.02.2024  |  1.6125

Latest posts by michaelschwob.bsky.social on Bluesky

So exciting to see this out -- Michael has hugely accelerated my statistical training over the last few years and is incredible at explaining and teaching complex ideas in stats πŸ‘πŸ»πŸ‘πŸ»πŸ‘πŸ»

18.04.2025 14:52 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
Preview
Exercises in Statistical Reasoning Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This leads to efficient problem solving for familiar problems. However, conducting nov...

My first textbook is officially available for pre-order today. Grab a copy if you're interested in developing a (statistical) research-oriented mindset. The book is designed as a stepping stone from statistical coursework to novel statistical research.
www.routledge.com/Exercises-in...

18.03.2025 00:41 β€” πŸ‘ 0    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1

Relevant tags: #landscape-genetics #landscape-genomics
#landscape-ecology #ancient-DNA
#spatio-temporal
#dyadic
#Bayesian
#advection-diffusion
#Bronze-Age-Europe
#ecological-statistics
(5/5)

13.01.2025 17:33 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

We construct a fully connected network comprising spatio-temporal data for the dyadic model and use normalized composite likelihoods to account for the dependence structure in space and time. (4/5)

13.01.2025 17:33 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

... in the data and may be computationally prohibitive. We infer mechanisms with a Bayesian hierarchical dyadic model that scales well with large data sets and that accounts for spatial and temporal dependence. (3/5)

13.01.2025 17:33 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Mechanistic statistical models are commonly used to study the flow of biological processes. In landscape genetics, the aim is to infer spatial mechanisms that govern gene flow in populations. Existing statistical approaches in landscape genetics do not account for temporal dependence... (2/5)

13.01.2025 17:33 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Composite dyadic models for spatio-temporal data ABSTRACT. Mechanistic statistical models are commonly used to study the flow of biological processes. For example, in landscape genetics, the aim is to inf

In my latest paper (with M. Hooten and V. Narasimhan), we developed a dyadic model that accounts for the flow of biological processes in space-time. We applied our method to ancient human DNA data to study human movement in Bronze Age Europe. (1/5)

academic.oup.com/biometrics/a...

13.01.2025 17:33 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

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