drownings

<p>Dataset containing number of deaths by drowning in Finland in 1969-2014,
yearly average summer temperatures (June to August) and
corresponding population sizes (in hundreds of thousands).</p>

datasets

Efficient methods for Bayesian inference of state space models
via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel
importance sampling type weighted estimators
(Vihola, Helske, and Franks, 2020, <arXiv:1609.02541>).
Gaussian, Poisson, binomial, negative binomial, and Gamma
observation densities and basic stochastic volatility models with Gaussian state
dynamics, as well as general non-linear Gaussian models and discretised
diffusion models are supported.

Jouni Helske

bssm

Bayesian Inference of Non-Gaussian State Space Models

Matti Vihola

drownings function

<p>A time series object containing 46 observations and.</p>

Data Engineering and BI courses are free this week!

drownings: Deaths by drowning in Finland in 1969-2014

Description

Arguments

Format