Cognitive Models
BUGS Examples Volumn 1
Hierarchical Normal Model
Random effect logistic regression
Likelihood Free Method
Kernel Density Estimation
Probability Density Approximation
Parallel Probability Density Approximation
Modelling Basics
Model Array
Simulation
Descriptive Statistics
Summary Statistics
Least Square Method
Maximising Likelihoods
Bayesian Basics
Bayes' Theorem
Prior Distribution
Model Likelihood
Posterior Distribution
Checking Fitted Models
Cognitive Model
LBA Model
PM Model
PLBA Model
Diffusion Decision Model
One-choice Diffusion Decision Model
Circular Drift-diffusion Model
PDDM
Three-accumulator LBA Model
LCA Model
Fixed-effects Model
One Participant
Multiple Participants
CDDM
Modern Bayesian Statistics
Markov Chain Monte Carlo
Random Walk Metropolis
Metropolis-Hastings
Hierarchical Model
HLBA Model
HDDM
Shooting Decision Model - Recovery Study
Shooting Decision Model - Empirical Data
HCDDM
HPM Model
Sampling Techniques
Population-based Monte Carlo
Crossover
Migration
Mutation
Differential Evolution Monte Carlo
Differential Evolution Markov Chain Monte Carlo
Distributed Genetic Monte Carlo
Change Log
Bayesian Basics
Model Likelihood
Cognitive Models