Niels Richard Hansen | NRH Statistics

Latest

Substitute adjustment via recovery of latent variables
A trek rule for the Lyapunov equation
Selective Review of Penalized Learning Methods for Event Processes
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation
Forecasting, Interventions and Selection: The Benefits of a Causal Mortality Model
Local Independence Testing for Point Processes
Identifiability in Continuous Lyapunov Models
Nonparametric Conditional Local Independence Testing
Graphical modeling of stochastic processes driven by correlated noise
Soft Maximin Estimation for Heterogeneous Data
Identification of Partially Observed Causal Models: Graphical Conditions for the Linear Non-Gaussian and Heterogeneous Cases
Testing Conditional Independence via Quantile Regression Based Partial Copulas
Graphical continuous Lyapunov models
Markov equivalence of marginalized local independence graphs
Sparse Network Estimation for Dynamical Spatio-temporal Array Models
Computational Statistics with R
Causal structure learning for partially observed multivariate event processes
Causal Learning for Partially Observed Stochastic Dynamical Systems
On Stein’s unbiased risk estimate for reduced rank estimators
FANCD2 binding identifies conserved fragile sites at large transcribed genes in avian cells
Penalized estimation in large-scale generalized linear array models
Sparse Estimation in Ordinary Differential Equation Systems.
Sparse Maximin Aggregation of Neuronal Activity
Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients
Exponential Martingales and Changes of Measure for Counting Processes
Nonparametric likelihood based estimation of linear filters for point processes
Lasso and probabilistic inequalities for multivariate point processes
Development and validation of a microRNA based diagnostic assay for primary tumor site classification of liver core biopsies
Degrees of freedom for nonlinear least squares estimation
Causal interpretation of stochastic differential equations
Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases
Sparse group lasso and high dimensional multinomial classification
Penalized maximum likelihood estimation for generalized linear point processes
Probability Theory and Statistics: With a view towards the natural sciences
Multivariate Hawkes process models of the occurrence of regulatory elements
The maximum of a Lévy process reflected at a general barrier
Statistical models for local occurrences of RNA-structures
Asymptotics for Local Maximal Stack Scores with General Loop Penalty Function
Local alignment of Markov chains
Aspects of Algebraic Statistics: Prediction, algorithms, and geometry
The maximum of a random walk reflected at a general barrier
The extremal behavior over regenerative cycles for Markov additive processes with heavy tails
A note on stochastic context-free grammars, termination and the EM-algorithm
Bioinformatik - en statistisk disciplin
Markov Controlled Excursions, Local Alignment and Structure
Geometric ergodicity of discrete time approximations to multivariate diffusions
A useful strengthening of the Stone-Weierstrass theorem