L. M. Berliner

Probabilistic & Bayesian Methods · 1998–2003

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom L. M. Berliner trusts overall

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

  1. Alan E. Gelfand
  2. Stuart Geman
  3. Jeffrey L. Anderson
  4. Dinh Tuan Pham
  5. Christopher K. Wikle
  6. James O. Berger

Who trusts L. M. Berliner overall

  1. Peter F. Craigmile
  2. Christopher K. Wikle
  3. Peter Guttorp
  4. Luc Anselin
  5. Heng Xiao
  6. Jean-Marie Beckers
  7. Benjamin Renard
  8. Reinhard Furrer
  9. A. G. Ramm
  10. Jin-Long Wu

Papers from L. M. Berliner's perspective

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

  1. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  2. Sampling-Based Approaches to Calculating Marginal Densities
  3. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  4. Interpolation of spatial data
  5. An Ensemble Adjustment Kalman Filter for Data Assimilation
  6. Density Estimation for Statistics and Data Analysis
  7. Deterministic nonperiodic flow
  8. Hierarchical Modeling and Analysis for Spatial Data
  9. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
  10. The Ensemble Kalman Filter: theoretical formulation and practical implementation

Their papers