Finland

Jouni Helske

Expert
@helske

Bayesian statistics, time series, causal inference, state space models, hidden Markov models, visualization.

seqHMM. Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

105

KFAS. KFAS: R Package for Exponential Family State Space Models

73

bssm. Bayesian Inference of State Space Models

49

changer. Change R Package Name

48

walker. Bayesian Generalized Linear Models with Time-Varying Coefficients

46

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

40

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

9

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

8

ramcmc. Building blocks for Robust Adaptive Metropolis algorithm

6

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

4

seqs2vars. Codes for the paper "From sequences to variables - rethinking the relationship of sequences and outcomes"

4

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

4

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

3

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

2

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

2

diagis. Auxiliary functions for importance sampling

1
16
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