James Livsey
Statistics and Probability · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 27 citations into it
- Artificial Intelligence — 17 citations into it
Whom James Livsey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from James Livsey's perspective
Ordered by how strongly the researchers James Livsey trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized autoregressive conditional heteroskedasticity
- On weak dependence conditions for Poisson autoregressions
- Multivariate autoregressive modeling of time series count data using copulas
- Limit theorems for iterated random functions (Journal of Applied Probability)
- Ergodicity of observation-driven time series models and consistency of the maximum likelihood estimator
- Absolute regularity and ergodicity of Poisson count processes
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- A Primer on Copulas for Count Data (ASTIN Bulletin: The Journal of the International Actuarial Association)
- Self-Excited Threshold Poisson Autoregression
- Multivariate Statistical Modelling Based on Generalized Linear Models (Technometrics)
Their papers
- Count Time Series: A Methodological Review (2021) — 129 citations
- Small-sample reinforcement learning: Improving policies using synthetic data (2017) — 3 citations