@JRSS_A

JRSS-A publishes research showing how statistics play a vital role in life and benefit society l #data l #statistics | #academic | #bayesian | #stochastic

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Joined December 2020
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We are also in the butterfly site! (find us with the handle jrssa.bsky.social)
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And of course, some literature recs for the 5th spotlight: Book review: an introduction to machine learning for behaviour analysis using R. Clear examples and code. @ThomasChenUoN @OBU_Psychology doi.org/10.1093/jrsssa/qnag1…

Behaviour Analysis with Machine Learning Using R

Machine-learning texts are often organized around individual algorithms. This book instead presents machine-learning methods through the applied task of in

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This review recommends a hands-on guide that applies Machine Learning to real behavioural data with R. It is an applied book on machine learning in behaviour research, with strong focus on practical examples rather than heavy mathematics.
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Spotlight No. 4: Victor Lhoste et al. "Hierarchical Bayesian mixture model for subgroup-specific cardiometabolic phenotypes" doi.org/10.1093/jrsssa/qnag1…

Hierarchical Bayesian mixture model for subgroup-specific cardiometabolic phenotypes

Abstract. Anthropometric, cardiometabolic, and renal traits—including height, adiposity, blood pressure, blood glucose, cholesterol, and kidney function—af

academic.oup.com
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Novel method: authors develop a Bayesian hierarchical mixture model with subgroup-specific weights and data-driven shifts in phenotype means.
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Key findings: Using NHANES across three age groups, the model identified 10 cardiometabolic phenotypes, comparable yet capturing age-specific risk profiles.
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Spotlight No. 3) by Mardia et al. "A cylindrical Galton Board at the Galton Board’s 150th anniversary" doi.org/10.1093/jrsssa/qnag1… Galton’s Quincunx reveals how a lattice geometry channels random paths into a limiting distribution, illustrating the spatial structure of variation
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The cylindrical Galton Board of the authors makes circular data understandable , revealing how periodic processes—such as 12‑month cycles—spread, and form wrapped distributions”
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2) from @DeliuNina et al.: "Scalable generalized accuracy estimation for multisource register-based official statistics" academic.oup.com/jrsssa/adva…
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Need an accuracy evaluation of register-based statistics? The linearised GMSE allows a scalable on-the-fly computation for unplanned domains.
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Furthermore, modern official statistics combine many data sources. The authors' show how to measure their accuracy in a rigorous and scalable way, on demand for any domain.
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But we also have some spotlight reccomendations! 1) @yawen_sophia et al. from @LancasterUni: A statistical framework for dynamic cognitive diagnosis in digital learning environments academic.oup.com/jrsssa/adva…

A statistical framework for dynamic cognitive diagnosis in digital learning environments

Abstract. Reading is foundational for educational, employment, and economic outcomes, but a persistent proportion of students globally struggle to develop

academic.oup.com
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How do students’ reading skills develop over time in digital environments? The authors introduce a dynamic cognitive diagnostic framework using rich log files.
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Applied to a real-world digital supplement,their framework jointly learns skill-item mappings (Q-matrix) and students’ reading skill mastery from data 💡💡💡.
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Hi everyone! we have some new science from August and September to share with you: academic.oup.com/jrsssa/adva…
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July Spotlight 3: 💊 How did Ivermectin prescribing vary across the U.S.? Puranam, @gomukherjee et al. develop regularized synthetic controls to estimate state-level effects. #COVID19 #SyntheticControl #CausalInference → doi.org/10.1093/jrsssa/qnag0… @usc @uscmarshall

Quantifying regional variation in Ivermectin use during the pandemic using regularized synthetic...

Abstract. We analyse 36 months of weekly US prescription claims spanning the COVID-19 pandemic to investigate overconsumption of the antiparasitic drug Ive

academic.oup.com
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🔧 How do we improve synthetic-control estimation? 🤔🤔🤔 Shrinkage priors help stabilize estimates and uncover heterogeneous effects across regions.
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July Spotlight 2: ⚖️ @a_farcome proposes a novel penalised approach and a benchmarking principle to estimate overall and stratified human rights violations in Colombia. #HumanRights #Colombia #CaptureRecapture → doi.org/10.1093/jrsssa/qnag0…

Smoothed population size estimation of human rights violations in Colombia 1985–2018

Abstract. We estimate the extent of conflict-related homicides, kidnappings, and forced recruitments in Colombia between 1985 and 2018; also at the gender,

academic.oup.com
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📊 >640,000 conflict-related homicides, almost 30,000 forced recruitments, and >60,000 conflict-related kidnappings estimated between 1985 and 2018. The scale of what registers miss is staggering.
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🗺️ Antioquia department and years 2000–2005 were most severely affected. After the 2016 Peace Accords a slight resurgence is seen in some departments.
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