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<rss version="2.0"><channel><description>Professor of Statistics at University of Jyväskylä. &#xA;Interested in causal models, study design, and missing data.&#xA;Homepage: http://users.jyu.fi/~jutakarv/</description><link>https://bsky.app/profile/juhakarvanen.bsky.social</link><title>@juhakarvanen.bsky.social - Juha Karvanen</title><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3m5j3f4o2ik2t</link><description>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. https://openreview.net/pdf?id=kVthdlAVks</description><pubDate>13 Nov 2025 11:39 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3m5j3f4o2ik2t</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3lsduias4vs2m</link><description>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.&#xA;arxiv.org/abs/2505.15215&#xA;https://arxiv.org/abs/2505.15215</description><pubDate>24 Jun 2025 10:15 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3lsduias4vs2m</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3lmgworntps2x</link><description>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) https://doi.org/10.1007/s00477-025-02970-w</description><pubDate>10 Apr 2025 07:01 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3lmgworntps2x</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3lccspbwggs2s</link><description>University of Jyväskylä has opened calls for a tenure-track professor and a senior lecturer in statistics:&#xA;https://ats.talentadore.com/apply/assistant-or-associate-professor-in-statistics/Zx3zry&#xA;https://ats.talentadore.com/apply/senior-lecturer-in-statistics/me1yv6&#xA;&#xA;In addition,  applications are invited for the JYU Visiting Fellow Programme:&#xA;https://ats.talentadore.com/apply/jyu-visiting-fellow-programme-2025/ZYk0RY</description><pubDate>02 Dec 2024 09:28 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3lccspbwggs2s</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3lbpnsegql22r</link><description>Scholar Goggler summarized my research topics. &#xA;scholargoggler.com</description><pubDate>24 Nov 2024 18:39 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3lbpnsegql22r</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3laokljdnpc2j</link><description>Santtu Tikka and I wrote two preprints on identification in missing data problems. The results have interesting implications for multiple imputation.&#xA;&#xA;Multiple imputation and full law identifiability, arxiv.org/abs/2410.18688&#xA;&#xA;Monotone missing data: a blessing and a curse, arxiv.org/abs/2411.03848&#xA;https://arxiv.org/abs/2410.18688</description><pubDate>11 Nov 2024 14:44 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3laokljdnpc2j</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3laoipwfwfc2j</link><description>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. https://doi.org/10.1093/biomtc/ujae104</description><pubDate>11 Nov 2024 14:11 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3laoipwfwfc2j</guid></item><item><link>https://bsky.app/profile/juhakarvanen.bsky.social/post/3lagymwwxun2s</link><description>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.&#xA;&#xA;https://jair.org/index.php/jair/article/view/15579/27053&#xA;&#xA;The proposed algorithm is applied to fairness analysis in credit-scoring.</description><pubDate>08 Nov 2024 14:34 +0000</pubDate><guid isPermaLink="false">at://did:plc:2ekg64wcfidd3fj5pdnqchfc/app.bsky.feed.post/3lagymwwxun2s</guid></item></channel></rss>