helske/particlefield

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Created about 6 years ago
Updated over 3 years ago

helske/particlefield

helske

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Supplementary material for the paper 'Graphical model inference: Sequential Monte Carlo meets deterministic approximations', NIPS 2018.

seqHMM

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

KFAS

KFAS: R Package for Exponential Family State Space Models

changer

Change R Package Name

walker

Bayesian Generalized Linear Models with Time-Varying Coefficients

bssm

Bayesian Inference of State Space Models

Rlibeemd

Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)

tsPI

R package for Bayesian prediction intervals for ARIMA and structural time series models with exogenous variables

statvis

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

ramcmc

Building blocks for Robust Adaptive Metropolis algorithm

stannis

Importance sampling correction approach for faster inference for exponential family state space models

seqs2vars

Codes for the paper "From sequences to variables - rethinking the relationship of sequences and outcomes"

trapdoor

Estimation of causal effects with small data in the presence of trapdoor variables

finpop

A Bayesian reconstruction of a historical population in Finland 1647-1850

dmpm

Codes for replicating the paper "Estimating Causal Effects from Panel Data with Dynamic Multivariate Panel Models"

diagis

Auxiliary functions for importance sampling