V. Koshkina

2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom V. Koshkina trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tom Fawcett
2. T. Hefley
3. D. MacKenzie
4. Mevin B. Hooten
5. J. Andrew Royle

Papers from V. Koshkina's perspective

Ordered by how strongly the researchers V. Koshkina trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
2. Point process models for presence‐only analysis
3. Correction note: Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology
4. Modelling distribution and abundance with presence‐only data
5. An introduction to ROC analysis
6. Statistics For Spatial Data
7. ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE (Ecology)
8. Hierarchical Species Distribution Models
9. Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes
10. Model selection and inference : a practical information-theoretic approach

Their papers

• Integrated species distribution models: combining presence‐background data and site‐occupancy data with imperfect detection (2017) — 113 citations