Ola Hössjer

Orcid: 0000-0003-2767-8818

According to our database1, Ola Hössjer authored at least 17 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Information Theoretic Approach to Prevalence Estimation and Missing Data.
IEEE Trans. Inf. Theory, May, 2024

Erratum: Classification Under Partial Reject Options.
J. Classif., March, 2024

Classification Under Partial Reject Options.
J. Classif., March, 2024

Is it possible to know cosmological fine-tuning?
CoRR, 2024

Use of directed quasi-metric distances for quantifying the information of gene families.
Biosyst., 2024

2022
A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning.
Entropy, 2022

Assessing, Testing and Estimating the Amount of Fine-Tuning by Means of Active Information.
Entropy, 2022

Active information, missing data and prevalence estimation.
CoRR, 2022

2019
A spatio-temporal point process model for particle growth.
J. Appl. Probab., 2019

2015
A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis.
BioData Min., 2015

2014
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.
BioData Min., 2014

2009
Utilizing identity-by-descent probabilities for genetic fine-mapping in population based samples, via spatial smoothing of haplotype effects.
Comput. Stat. Data Anal., 2009

2008
Fast kriging of large data sets with Gaussian Markov random fields.
Comput. Stat. Data Anal., 2008

2006
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method.
BMC Bioinform., 2006

1997
Adaptive detection of known signals in additive noise by means of kernel density estimators.
IEEE Trans. Inf. Theory, 1997

1995
On-line density estimators with high efficiency.
IEEE Trans. Inf. Theory, 1995

1993
Robust multiple classification of known signals in additive noise - An asymptotic weak signal approach.
IEEE Trans. Inf. Theory, 1993


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