1 citations · 2 across the 7 of their papers we have counts for
8 papers
Composition as Direction: An Active-Set Ray-Based Model for Sparse High-Dimensional Compositional Data
Michael R Schwob, Jyotishka Datta
[Working Draft] Compositional data are central to microbial, ecological, and environmental research, yet often have four features that are difficult to accommodate jointly: exact z…
Dyadic Flow Models for Nonstationary Gene Flow in Landscape Genomics
Michael R. Schwob, Nicholas M. Calzada, Justin J. Van Ee +6
The field of landscape genomics aims to infer how landscape features affect gene flow throughout a population. Most landscape genomic frameworks assume the isolation-by-distance an…
Spatial Hyperspheric Models for Compositional Data
Michael R. Schwob, Mevin B. Hooten, Nicholas M. Calzada +1
Compositional observations are an increasingly prevalent data source in spatial statistics. Analysis of such data is typically done on log-ratio transformations or via Dirichlet re…
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…
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.…
Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology
Michael R. Schwob, Mevin B. Hooten, Travis McDevitt-Galles
To study population dynamics, ecologists and wildlife biologists use relative abundance data, which are often subject to temporal preferential sampling. Temporal preferential sampl…
Multistage Hierarchical Capture-Recapture Models
Mevin B Hooten, Michael R Schwob, Devin S Johnson +1
Ecologists increasingly rely on Bayesian methods to fit capture-recapture models. Capture-recapture models are used to estimate abundance while accounting for imperfect detectabili…
Novel Theorems and Algorithms Relating to the Collatz Conjecture
Michael R. Schwob, Peter Shiue, Rama Venkat
Proposed in 1937, the Collatz conjecture has remained in the spotlight for mathematicians and computer scientists alike due to its simple proposal, yet intractable proof. In this p…