Interested in causal models, study design, and missing data.
Homepage: http://users.jyu.fi/~jutakarv/
arxiv.org/abs/2505.15215
arxiv.org/abs/2505.15215
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
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
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...
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...
scholargoggler.com
scholargoggler.com
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, arxiv.org/abs/2410.18688
Monotone missing data: a blessing and a curse, arxiv.org/abs/2411.03848
jair.org/index.php/ja...
The proposed algorithm is applied to fairness analysis in credit-scoring.
jair.org/index.php/ja...
The proposed algorithm is applied to fairness analysis in credit-scoring.