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 and parallel importance sampling type weighted
Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>).
Gaussian, Poisson, binomial, or negative binomial
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-Linear and Non-Gaussian State Space
Models

Matti Vihola

drownings function

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

drownings: Deaths by drowning in Finland in 1969-2014

Description

Arguments

Format