Kerrie L. Mengersen

Statistics and Probability · 1996–2018

A researcher in the Science corpus: 21 papers; trusts 43 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 101 citations into it; #2,224 of 12,932 by trust here, #1,751 by citations
• Artificial Intelligence — 68 citations into it; #9,495 of 35,345 by trust here, #12,974 by citations
• Ecological Modeling — 46 citations into it; #659 of 2,530 by trust here, #746 by citations
• Nature and Landscape Conservation — 45 citations into it; #1,434 of 6,941 by trust here, #1,276 by citations
• Probabilistic & Bayesian Methods — 21 citations into it
• Global and Planetary Change — 17 citations into it
• Automotive Engineering — 14 citations into it
• Management Science and Operations Research — 12 citations into it

Whom Kerrie L. Mengersen trusts overall

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

1. James O. Berger
2. Sylvia Frühwirth-Schnatter
3. Bill Shipley
4. H. Wagner
5. Subhashis Ghosal
6. Christian P. Robert
7. Luis R. Pericchi
8. Sonia Petrone
9. Judith Rousseau
10. Larry A. Wasserman

Who trusts Kerrie L. Mengersen overall

1. Christian P. Robert
2. Gareth O. Roberts
3. Randal Douc
4. Christophe Andrieu
5. Song-Chun Zhu
6. Peter J. Green
7. Galin L. Jones
8. Haikady N. Nagaraja
9. A. Y. Mitrophanov
10. S. Jarner

Papers from Kerrie L. Mengersen's perspective

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

1. Information Theory and an Extension of the Maximum Likelihood Principle
2. Sampling-Based Approaches to Calculating Marginal Densities
3. The Intrinsic Bayes Factor for Model Selection and Prediction
4. Computational and Inferential Difficulties with Mixture Posterior Distributions
5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
6. Bayesian Model Choice: Asymptotics and Exact Calculations
7. Density Estimation for Statistics and Data Analysis
8. Ockham's Razor and Bayesian Analysis
9. Approximations and consistency of Bayes factors as model dimension grows
10. Extending conventional priors for testing general hypotheses in linear models

Their papers

• Asymptotic behaviour of the posterior distribution in overfitted mixture models (2011) — 366 citations
• Testing hypotheses via a mixture estimation model (2014) — 75 citations
• Bayesian Modelling and Inference on Mixtures of Distributions (2005) — 506 citations
• Bayesian Goodness of Fit Testing with Mixtures of Triangular Distributions (2009) — 49 citations
• Multivariate meta‐analysis (2003) — 346 citations
• A Comparison of Bayes–Laplace, Jeffreys, and Other Priors (2008) — 66 citations
• Spatially explicit structural equation modeling (2014) — 53 citations
• Outstanding Challenges in the Transferability of Ecological Models. (2018) — 629 citations
• Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation (2016) — 436 citations
• Meta‐analysis of variation: ecological and evolutionary applications and beyond (2015) — 264 citations
• Handbook of Meta-analysis in Ecology and Evolution (2013) — 1,026 citations
• Wayfinding: A simple concept, a complex process (2012) — 190 citations
• Eliciting Expert Knowledge in Conservation Science (2012) — 794 citations
• Modality of human expired aerosol size distributions (2011) — 654 citations
• Using the Generalised Additive Model to model the particle number count of ultrafine particles (2011) — 58 citations
• Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities (2009) — 1,065 citations
• Posterior predictive arguments in favor of the Bayes-Laplace prior as the consensus prior for binomial and multinomial parameters (2009) — 50 citations
• Characterization of expiration air jets and droplet size distributions immediately at the mouth opening (2008) — 847 citations
• Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species (2005) — 160 citations
• The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds (2005) — 251 citations