1 citations · 3 across the 6 of their papers we have counts for
7 papers
Recent advances in statistical methodology applied to the Hjort liver index time series (1859-2012) and associated influential factors
Gudmund H. Hermansen, Nils Lid Hjort, Olav S. Kjesbu
Certain recent advances in statistical methodology have promising potential for fruitful use in general biology and the fisheries sciences. This paper reviews and discusses some of…
Conflict Forecasting via Conformal Prediction for Markov Processes
Aditya Basarkar, Emmett B. Kendall, David Randahl +2
Whether or not a country is at war, or experiencing escalating or deescalating levels of conflict, has massive ramifications on a country's national and foreign policy. Given a cou…
Estimation, inference and model selection for jump regression models
Steffen Grønneberg, Gudmund Hermansen, Nils Lid Hjort
We consider regression models with data of the type , where the curve is taken locally constant, with unknown levels and jump points. We investigat…
Parametric or nonparametric: the FIC approach for stationary time series
Gudmund Hermansen, Nils Lid Hjort, Martin Jullum
We seek to narrow the gap between parametric and nonparametric modelling of stationary time series processes. The approach is inspired by recent advances in focused inference and m…
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
Anders Hjort, Gudmund Horn Hermansen, Johan Pensar +1
Non-parametric machine learning models, such as random forests and gradient boosted trees, are frequently used to estimate house prices due to their predictive accuracy, but a main…
Beyond time-homogeneity for continuous-time multistate Markov models
Emmett B. Kendall, Jonathan P. Williams, Gudmund H. Hermansen +2
Multistate Markov models are a canonical parametric approach for data modeling of observed or latent stochastic processes supported on a finite state space. Continuous-time Markov…
Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
Jonathan P Williams, Gudmund H Hermansen, Håvard Strand +2
A crucial challenge for solving problems in conflict research is in leveraging the semi-supervised nature of the data that arise. Observed response data such as counts of battle de…