Hamiltonian MCMC information gathering
11643
Hamiltonian Monte Carlo for dummies
158244
Understanding Bayesian Predictive Distributions
104438
Random Forest mtry Spit-to-Split Variable Sampling Procedure
127394
Induction for sum of Poisson distributed random variables
112378
Decision boundaries and Gaussian density functions
69737
Operator Theoretic Perspectives on Bayesian Inference
64192
State space representation of ARMA(p,q) from Hamilton
26250
Robust mean estimation with O(1) update efficiency
1243
Sampling from a piecewise linear probability density function
38059
Neyman allocation and proportional allocation
83511
MCMC in a frequentist setting
108690
The weighted sum of two independent Poisson random variables
88052
Reference for statistical mechanics from information theoretic view
94025
Markov chain convergence, total variation and KL divergence
96249
Sampling uniformly from the standard n simplex with further constraints
137224
Sequential Update of Bayesian
156916
Intuitive and Formulaic Justification for the Rao-Blackwell Theorem