Juha Karvanen
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juhakarvanen.bsky.social
Juha Karvanen
@juhakarvanen.bsky.social
Professor of Statistics at University of Jyväskylä.
Interested in causal models, study design, and missing data.
Homepage: http://users.jyu.fi/~jutakarv/
In longitudinal studies, dropout leads to a monotone missing data pattern. We show in a new article that monotonicity sometimes enables and sometimes prevents the identification of  the full law, i.e., the joint distribution of actual variables and response indicators. openreview.net/pdf?id=kVthd...
November 13, 2025 at 11:39 AM
In a new preprint, we study causal effect identification with multiple data sources. We show that certain clustering and pruning operations of the causal graph are identification invariant. This means that we may use the smaller graph to make conclusions on the larger graph.
arxiv.org/abs/2505.15215
Clustering and Pruning in Causal Data Fusion
Data fusion, the process of combining observational and experimental data, can enable the identification of causal effects that would otherwise remain non-identifiable. Although identification algorit...
arxiv.org
June 24, 2025 at 10:15 AM
Our paper on the value of information for a risk-averse decision maker was published. Koski, V., Karvanen, J. Risk aversion in the value of information analysis: application to lake management. Stochastic Environmental Research and Risk Assessment (2025) doi.org/10.1007/s004...
April 10, 2025 at 7:02 AM
Reposted by Juha Karvanen
ELLIS Institute Finland is hiring Principal Investigators in AI + machine learning. World-class resources for research incl. LUMI supercomputer, generous starting package & professorship affiliation with a university in the world’s happiest country! Apply by March 9: ellisinstitute.fi/PI-recruit
February 4, 2025 at 3:16 PM
Reposted by Juha Karvanen
Reminder about these positions - DL tomorrow (8 Jan).
January 7, 2025 at 10:00 AM
Reposted by Juha Karvanen
The SBEDE model is released!
It is a statistical model for debiasing systematic biases in expert predictions and ignoring experts who have not proven their competence
#BayesianStats
The article includes a real data portfolio optimization application with stock analysts' target prices
rdcu.be/d3n69
A Bayesian model for portfolio decisions based on debiased and regularized expert predictions
rdcu.be
December 18, 2024 at 12:58 PM
University of Jyväskylä has opened calls for a tenure-track professor and a senior lecturer in statistics:
ats.talentadore.com/apply/assist...
ats.talentadore.com/apply/senior...

In addition, applications are invited for the JYU Visiting Fellow Programme:
ats.talentadore.com/apply/jyu-vi...
Assistant or Associate Professor in Statistics
The department of [Mathematics and Statistics](https://www.jyu.fi/en/science/maths) is seeking to recruit an Assistant or Associate Professor (Tenure Track) in Statistics starting 1st August 2025, or ...
ats.talentadore.com
December 2, 2024 at 9:28 AM
Scholar Goggler summarized my research topics.
scholargoggler.com
November 24, 2024 at 6:39 PM
Santtu Tikka and I wrote two preprints on identification in missing data problems. The results have interesting implications for multiple imputation.

Multiple imputation and full law identifiability, arxiv.org/abs/2410.18688

Monotone missing data: a blessing and a curse, arxiv.org/abs/2411.03848
Multiple imputation and full law identifiability
The key problems in missing data models involve the identifiability of two distributions: the target law and the full law. The target law refers to the joint distribution of the data variables, while ...
arxiv.org
November 11, 2024 at 2:44 PM
Forestry is important for the economies of Finland and Sweden and provides interesting problems also for statisticians. In a recent work done in collaboration with Skogforsk, we optimized the inventory decisions in operational forestry. doi.org/10.1093/biom...
November 11, 2024 at 2:11 PM
Simulating values from a known distribution is a basic task in statistics. But how to simulate from a counterfactual distribution? We consider this question in a recently published paper.

jair.org/index.php/ja...

The proposed algorithm is applied to fairness analysis in credit-scoring.
November 8, 2024 at 2:34 PM