On estimation in binary autologistic spatial models

By Michael Sherman, Tatiyana V. Apanasovich, Raymond J. Carroll. 2006

54 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/bdc62f9cd5540f6d89cb4502dcedc70a4a7bc57a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Carsten F. Dormann
2. F. Liang

In Environmental Engineering

1. Carsten F. Dormann
2. F. Liang
3. Angelo Mele
4. Simo Särkkä
5. Andrew M. Stuart
6. Stephen J. Beckett

In Global and Planetary Change

1. Carsten F. Dormann
2. F. Liang

Citations in the corpus

• Assessing the validity of autologistic regression (2007, methodology): “Although computationally difficult, this model can be fitted by maximum likelihood (Sherman et al., 2006).”
• A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants (2010, methodology): “[20] using the Monte Carlo maximum likelihood algorithm [7], resulting in a similar estimate of (−0.”