state-space-models topic

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

biaslab

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

LAMPSPUC

Structured state space sequence models

state-spaces

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

AaltoML

Package implementing common state-space routines.

FRBNY-DSGE

R code for Time Series Analysis and Its Applications, Ed 4

nickpoison

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

nickpoison

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

AaltoML

fit latent variable movement models to animal tracking data

ianjonsen

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

kaanakan