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researcher

Michael R. Schwob

UT Austin

8 papers hereh-index 693 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author2

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • stat.ME6
  • math.NT1
  • stat.AP1
affiliations
  • UT Austin
HomepageORCID 0000-0001-6367-2013

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedDynamic Population Models with Temporal Preferential Sampling to Infer Phenology

1 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

stat.ME2023

Composite Dyadic Models for Spatio-Temporal Data

Michael R Schwob, Mevin B Hooten, Vagheesh Narasimhan

Mechanistic statistical models are commonly used to study the flow of biological processes. For example, in landscape genetics, the aim is to infer spatial mechanisms that govern g…

stat.ME2023

Geostatistical capture-recapture models

Mevin B Hooten, Michael R Schwob, Devin S Johnson +1

Methods for population estimation and inference have evolved over the past decade to allow for the incorporation of spatial information when using capture-recapture study designs.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.