Ola Hössjer

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Information Theoretic Approach to Prevalence Estimation and Missing Data.

Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao

IEEE Trans. Inf. Theory, May, 2024

Erratum: Classification Under Partial Reject Options.

Måns Karlsson, Ola Hössjer

J. Classif., March, 2024

Classification Under Partial Reject Options.

Måns Karlsson, Ola Hössjer

J. Classif., March, 2024

Is it possible to know cosmological fine-tuning?

Daniel Andrés Díaz-Pachón, Ola Hössjer, Calvin Mathew

CoRR, 2024

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

Steinar Thorvaldsen, Ola Hössjer

Biosyst., 2024

2022

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

Ola Hössjer, Daniel Andrés Díaz-Pachón, J. Sunil Rao

Entropy, 2022

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

Daniel Andrés Díaz-Pachón, Ola Hössjer

Entropy, 2022

Active information, missing data and prevalence estimation.

Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao

CoRR, 2022

2019

A spatio-temporal point process model for particle growth.

Ola Hössjer

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.

Magnus Lekman, Robert Karlsson, Lisette Graae, Ola Hössjer, Ingrid Kockum

BioData Min., 2015

2014

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

Magnus Lekman, Ola Hössjer, Peter C. Andrews, Henrik Källberg, Daniel Uvehag, Dennis S. Charney, Husseini K. Manji, John A. Rush, Francis J. McMahon, Jason H. Moore, Ingrid Kockum

BioData Min., 2014

2009

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

Linda Hartman, Ola Hössjer, Keith Humphreys

Comput. Stat. Data Anal., 2009

2008

Fast kriging of large data sets with Gaussian Markov random fields.

Linda Hartman, Ola Hössjer

Comput. Stat. Data Anal., 2008

2006

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

Henrik Bengtsson, Ola Hössjer

BMC Bioinform., 2006

1997

Adaptive detection of known signals in additive noise by means of kernel density estimators.

Rolf T. Gustafsson, Ola G. Hössjer, Tommy Öberg

IEEE Trans. Inf. Theory, 1997

1995

On-line density estimators with high efficiency.

Ola Hössjer, Ulla Holst

IEEE Trans. Inf. Theory, 1995

1993

Robust multiple classification of known signals in additive noise - An asymptotic weak signal approach.

Ola Hössjer, Moncef Mettiji

IEEE Trans. Inf. Theory, 1993