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09/02/2023
A modern approach to transition analysis and process mining with Markov models: A tutorial with R
This chapter presents an introduction to Markovian modeling for the anal...
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03/29/2023
Price Optimization Combining Conjoint Data and Purchase History: A Causal Modeling Approach
Pricing decisions of companies require an understanding of the causal ef...
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02/03/2023
dynamite: An R Package for Dynamic Multivariate Panel Models
dynamite is an R package for Bayesian inference of intensive panel (time...
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11/08/2021
Clustering and Structural Robustness in Causal Diagrams
Graphs are commonly used to represent and visualize causal relations. Fo...
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06/11/2021
A Bayesian spatio-temporal error correction analysis of markets during the Finnish 1860s famine
We present a Bayesian spatio-temporal error correction model and use it ...
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01/21/2021
bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R
We present an R package bssm for Bayesian non-linear/non-Gaussian state ...
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09/15/2020
Efficient Bayesian generalized linear models with time-varying coefficients: The walker package in R
The R package walker extends standard Bayesian general linear models to ...
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03/06/2020
Estimation of causal effects with small data under implicit functional constraints
We consider the problem of estimating causal effects of interventions fr...
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02/17/2020
Are You Sure You're Sure? – Effects of Visual Representation on the Cliff Effect in Statistical Inference
Common reporting styles of statistical results, such as confidence inter...
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01/08/2019
