A random field model for quantitation and prediction of biological patterns †

DOI10.1080/00207727908941647zbMath0413.92001OpenAlexW2071359948MaRDI QIDQ3048641

Boyarski, Abraham

Publication date: 1979

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207727908941647

zbMATH Keywords

Markov random fieldGibbs distributionprediction of biological patterns

Mathematics Subject Classification ID

Random fields (60G60) Markov processes: estimation; hidden Markov models (62M05) Continuous-time Markov processes on general state spaces (60J25) Interacting random processes; statistical mechanics type models; percolation theory (60K35) General biology and biomathematics (92B05)

Cites Work

• Description of Markovian Random Fields by Gibbsian Conditional Probabilities
• Physical nearest-neighbour models and non-linear time-series: III Non-zero means and sub-critical temperatures
• Analysing binary lattice data with the nearest-neighbor property
• Unnamed Item

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