User profiles for L. Held
Leonhard HeldProfessor of Biostatistics, University of Zurich Verified email at uzh.ch Cited by 21893 |
On p-Values and Bayes Factors
L Held, M Ott - Annual Review of Statistics and Its Application, 2018 - annualreviews.org
… Tests for direction are usually conducted with one-sided p-values, and there is a close …
Tests for existence can be conducted with one-sided or two-sided p-values, but the …
Tests for existence can be conducted with one-sided or two-sided p-values, but the …
Towards joint disease mapping
… Following Knorr-Held and Best,6 we introduce a shared component, which is relevant for
both diseases, plus an additional component for the residual variation, specific to only one of …
both diseases, plus an additional component for the residual variation, specific to only one of …
Redefine statistical significance
The lack of reproducibility of scientific studies has caused growing concern over the credibility
of claims of new discoveries based on ‘statistically significant’findings. There has been …
of claims of new discoveries based on ‘statistically significant’findings. There has been …
Chronic obstructive pulmonary disease: current burden and future projections
… As well as providing detailed information, informative sensitivity analyses can be conducted
using risk factor models. For example, the basic model suggested an increase in COPD …
using risk factor models. For example, the basic model suggested an increase in COPD …
[BOOK][B] Gaussian Markov random fields: theory and applications
… It turns out that L can inherit the nonzero pattern of Q so it can be sparse as well. However, …
zero mean GMRF with precision matrix Q, we compute the Cholesky triangle L and then solve …
zero mean GMRF with precision matrix Q, we compute the Cholesky triangle L and then solve …
Bayesian auxiliary variable models for binary and multinomial regression
In this paper we discuss auxiliary variable approaches to Bayesian binary and multinomial
regression. These approaches are ideally suited to automated Markov chain Monte Carlo …
regression. These approaches are ideally suited to automated Markov chain Monte Carlo …
Predictive model assessment for count data
We discuss tools for the evaluation of probabilistic forecasts and the critique of statistical
models for count data. Our proposals include a nonrandomized version of the probability …
models for count data. Our proposals include a nonrandomized version of the probability …
Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds
We discuss methods for the evaluation of probabilistic predictions of vector-valued quantities,
that can take the form of a discrete forecast ensemble or a density forecast. In particular, …
that can take the form of a discrete forecast ensemble or a density forecast. In particular, …
Applied statistical inference
L Held, D Sabanés Bové - Springer, Berlin Heidelberg, doi, 2014 - Springer
… We will often write L(θ) for the likelihood if it is clear to which observed datum x the
likelihood refers to. … We will use the symbol L(θ) both for likelihood functions and kernels. …
likelihood refers to. … We will use the symbol L(θ) both for likelihood functions and kernels. …
A statistical framework for the analysis of multivariate infectious disease surveillance counts
A framework for the statistical analysis of counts from infectious disease surveillance databases
is proposed. In its simplest form, the model can be seen as a Poisson branching process …
is proposed. In its simplest form, the model can be seen as a Poisson branching process …