Titlebook: Bayesian Statistical Modeling with Stan, R, and Python; Kentaro Matsuura Book 2022 Springer Nature Singapore Pte Ltd. 2022 Stan.Bayesian M

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Spatial Data Analysis Using Gaussian Markov Random Fields and Gaussian Processesyze spatial data. It has a wide range of application and can be applied to one-dimensional data, two-dimensional grid data type, and geospatial map data. Later, we will see how a Gaussian process (GP) can be considered as a generalization of a GMRF. A GP can represent smooth functions, and usually g

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A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequencestion and introduce a general framework for particle tracking using the proposed filter. We apply our scheme to multi-target tracking in total internal reflection fluorescence microscopy (TIRFM) sequences and evaluate the performance of our filter against the existing LGJMS-PHD and IMM-JPDA filters.

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