K. K. Berthelsen

发表

An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants

J. Møller, A. Pettitt, R. Reeves, 2006 .

Likelihood and Non‐parametric Bayesian MCMC Inference for Spatial Point Processes Based on Perfect Simulation and Path Sampling

K. K. Berthelsen, J. Møller, Jesper Møller, 2003 .

NON‐PARAMETRIC BAYESIAN INFERENCE FOR INHOMOGENEOUS MARKOV POINT PROCESSES

Jesper Møller, Kasper Klitgaard Berthelsen, K. K. Berthelsen, 2008 .

Perfect posterior simulation for mixture and hidden Markov models

L. A. Breyer, G. Roberts, K. K. Berthelsen, 2010 .

A primer on perfect simulation for spatial point processes

K. K. Berthelsen, J. Møller, 2002 .

Intelligent Speed Adaptation for involuntary drivers: Final results

Harry Lahrmann, Niels Agerholm, Jens Juhl, 2012 .

Probabilistic Aspects of Harmonic Emission of Large Offshore Wind Farms

K. K. Berthelsen, C. Bak, L. Kocewiak, 2011 .

A primer on perfect simulation for spatial point processes

K. K. Berthelsen, J. Møller, Jesper Møller, 2002 .

Variational quantum Monte Carlo study of charged excitons in fractional dimensional space

K. K. Berthelsen, T. Pedersen, B. Partoens, 2011 .

Transforming Spatial Point Processes into Poisson Processes Using Random Superposition

Jesper Møller, Kasper Klitgaard Berthelsen, K. K. Berthelsen, 2012, Advances in Applied Probability.

Markov model of wind power time series using Bayesian inference of transition matrix

Birgitte Bak-Jensen, Zhe Chen, Peiyuan Chen, 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

Bayesian Analysis of Markov Point Processes

Jesper Møller, Kasper Klitgaard Berthelsen, K. K. Berthelsen, 2006 .