Sign in

Journal of the Royal Statistical Society: Series A

@jrssa.bsky.social
83 followers 36 following 146 posts

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

PostsRepliesMedia
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 23/04/2026
And in the spotlight, from Håvard Hungnes (Statistics Norway ) "A novel multivariate composite estimator for the Labour Force Survey" doi.org/10.1093/jrss...
doi.org
A novel multivariate composite estimator for the labour force survey
Abstract. This paper introduces a novel multivariate composite estimator for the Labour Force Survey (LFS). The estimator improves upon traditional methods
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 23/04/2026
🧵 April (and late March) highlights from JRSS-A! New original articles spanning networks, crime, genomics, finance & more. Thread 👇 (1/10)
100
Reposted by Journal of the Royal Statistical Society: Series A
Royal Statistical Society International Conference @rssannualconf.bsky.social · 01/04/2026
There is now just one week left to get your talk on the programme for this September's @royalstatsoc.bsky.social conference in Bournemouth. Deadline for submissions 8 April. Don't miss out! rss.org.uk/training-eve...
rss.org.uk
Submit a talk or poster
012
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 01/04/2026
💥 Bayesian spatiotemporal modelling of political violence and conflict events using discrete-time Hawkes processes Raiha Browning et al #ConflictData #Bayesian
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 30/03/2026
👶 Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation Ciganda et al. use neural posterior estimation to recover individual reproductive behaviour from fertility rates. #Demography #NeuralNetworks doi.org/10.1093/jrss...
academic.oup.com
Oxford Academic
Oxford Academic
110
Reposted by Journal of the Royal Statistical Society: Series A
Royal Statistical Society @royalstatsoc.bsky.social · 03/02/2026
📣 Abstract submissions are open for #RSS2026! Join us and @rssannualconf.bsky.social in Bournemouth from 7–10 Sept, and share your work—whether it’s a 20‑min talk, a rapid‑fire session or a poster. Stats, data science, methodology, data storytelling… it’s all welcome! rss.org.uk/news-publica...
rss.org.uk
Submissions for talks open for RSS 2026 Conference
062
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 02/02/2026
Hi everyone, sorry for being away for a while, we wanted to update you with the new papers! From mortality patterns to tax fraud detection, here's what's new 🧵👇"
100
Reposted by Journal of the Royal Statistical Society: Series A
Oxford Academic @academic.oup.com · 20/11/2025
📢 Call for Papers The Journal of the Royal Statistical Society, Series A (@jrssa.bsky.social) invites submissions for a special issue exploring historical data practices and their impact on modern data science. @royalstatsoc.bsky.social 🔍 Explore the full call: oxford.ly/4rgfcdl
Call for Papers: Big Data before Data Science
021
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 21/11/2025
🆕Bayesian evidence synthesis for modelling SARS-CoV-2 transmission 🧪Apsemidis and Demiris adopt the Bayesian paradigm and synthesize publicly available data via a discrete-time stochastic epidemic modelling framework doi.org/10.1093/jrss...
doi.org
Bayesian evidence synthesis for modelling SARS-CoV-2 transmission
Abstract. The acute phase of the COVID-19 pandemic has made apparent the need for decision support based upon accurate epidemic modelling. This process is
021
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 21/11/2025
🆕A multilevel model with heterogeneous variances for snap timing in the National Football League 🏈Nguyen and Yurko snap into the passing lanes doi.org/10.1093/jrss...
doi.org
A multilevel model with heterogeneous variances for snap timing in the National Football League
Abstract. Player tracking data have provided great opportunities to generate insights into understudied areas of American football, such as pre-snap motion
143
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 14/11/2025
🤔New tools for network time series with an application to COVID-19 hospitalisations Nason,Salnikov & Cortina-Borja present the following discussion paper (and you can find contributions to the discussion from other authors in the journal!) doi.org/10.1093/jrss...
doi.org
Validate User
000
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 14/11/2025
Planning is underway for the 2026 International Conference which will take place in Bournemouth from 7-10 September. Submissions are now welcomed for invited topic sessions and workshops with a deadline of 21 November. Full details: rss.org.uk/training-eve...
rss.org.uk
Invited topic sessions
010
Reposted by Journal of the Royal Statistical Society: Series A
Royal Statistical Society @royalstatsoc.bsky.social · 21/10/2025
Join Series A tomorrow for what promises to be a lively discussion meeting on Carl Morris' Finite Selection Model and its applications throughout experimental design
022
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 22/10/2025
rss.org.uk/news-publication/news-publications/2025/member-callouts/associate-editors-sought-for-series-a/ We are looking for new editors for JRSSA! (details at the link) We are seeking associate editors for a four-year term starting in January 2026.
rss.org.uk
Associate editors sought for Series A
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 20/10/2025
We wanted to invite you to the next discussion paper meeting ‘Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond’ on October 22nd at 3 pm (UK time) (more details on link!) rss.org.uk/training-eve...
rss.org.uk
Discussion paper meetings
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 03/10/2025
🆕Latent class multi-state quantile regression with a cure fraction: application to jail recidivism in the USA 💡@barross993.bsky.social and @afarcome.bsky.social analyze time spent after release with a quantile regression approach doi.org/10.1093/jrss...
doi.org
Latent class multi-state quantile regression with a cure fraction: application to jail recidivism in the U.S.
Abstract. We propose a multi-state quantile regression model that admits a cure-fraction for each possible transition, so that individuals may not experien
111
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 03/10/2025
🆕Improving survey inference in two-phase designs using Bayesian machine learning 🪶Wang, Chen, et al with a very clear purpose in the title of their paper doi.org/10.1093/jrss...
doi.org
Validate User
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 01/10/2025
🆕Multilayer topology-aware graph contrastive learning for fraud detection in the Ethereum transaction network 💱Chen et al delve in Blockchain networks doi.org/10.1093/jrss...
doi.org
Multilayer topology-aware graph contrastive learning for fraud detection in the Ethereum transaction network
Abstract. Fraud detection in blockchain networks presents unique challenges due to the decentralized and pseudonymous nature of transactions. This study in
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 23/09/2025
🆕A Bayesian approach to estimate causal peer influence accounting for latent network homophily 💡Um , Sweet and Adhikari show a framework to disentangle homophily from causal peer influence doi.org/10.1093/jrss...
doi.org
Validate User
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 19/09/2025
🆕Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19 💡Bouranis et al. develop a flexible Bayesian evidence synthesis approach to model age-specific transmission dynamics of COVID-19 based on daily death counts
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 19/09/2025
🆕Identifying enhanced generalized linear model estimation with nonignorable missing outcomes 💡Beppu, Choi, Morikawa & Im try to respond what happens when people don't respond to surveys because of their actual (unobserved) answer? doi.org/10.1093/jrss...
doi.org
Identifying enhanced generalized linear model estimation with nonignorable missing outcomes
Abstract. Missing data often result in undesirable bias and loss of efficiency. These issues become substantial when the response mechanism is nonignorable
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 03/09/2025
🆕Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts 💡Kendall et al analyze how smaller, sub-municipal boundaries like police districts, precincts, and service areas also influence police outcomes doi.org/10.1093/jrss...
doi.org
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
Abstract. We study variation in policing outcomes attributable to differential policing practices in New York City (NYC) using geographic regression discon
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 26/08/2025
Who increases emergency department (ED) use? New insights from the Oregon health insurance experiment 💡Austin Denteh and Helge Liebert estimate the heterogeneous impacts of Medicaid on ED use and characterize them doi.org/10.1093/jrss...
doi.org
Who increases emergency department use? New insights from the Oregon health insurance experiment
Abstract. We provide new insights regarding the headline result that Medicaid increased emergency department (ED) use from the Oregon experiment. Using cau
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 21/08/2025
🆕Long-term trends of US county-level extreme ozone concentrations with long memory and changepoint considerations 🌬️Lee and Lee develop a long-memory extreme series model using a copula transformation to quantify long-term trends of extreme ozone doi.org/10.1093/jrss...
doi.org
Long-term trends of US county-level extreme ozone concentrations with long memory and changepoint considerations
Abstract. We quantify long-term linear trends in weekly maximum ground-level ozone concentrations of 395 US counties by considering two critical issues: ch
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 21/08/2025
🆕Bayesian safe policy learning with chance constrained optimization: application to military security assessment during the Vietnam War 🤔Jia Ben-Michael and Imai examine whether a security assessment algorithm deployed during the Vietnam War could have been improved doi.org/10.1093/jrss...
doi.org
Bayesian safe policy learning with chance constrained optimization: application to military security assessment during the Vietnam War
Abstract. Algorithmic decisions are increasingly used in high-stake domains such as criminal justice and medicine. We examine whether a security assessment
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 12/08/2025
🆕Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data ‼️Lee and Kim introduce the Counterfactual Buckley–James Q-Learning framework, to address challenges arising from longitudinal survival data. doi.org/10.1093/jrss...
doi.org
Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data
Abstract. Treatment strategies are critical in healthcare, particularly when outcomes are subject to censoring. This study introduces the Counterfactual Bu
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 06/08/2025
🆕 Capturing the Spatio-Temporal Diffusion Effects of Armed Conflict: A Non-parametric Smoothing Approach 💡@dracek.bsky.social‬ Thurner and Kauermann develop a statistical model to capture the spatio-temporal diffusion effects of armed conflict (@lmumuenchen.bsky.social‬) doi.org/10.1093/jrss...
doi.org
Capturing the spatio-temporal diffusion effects of armed conflict: A nonparametric smoothing approach
Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants
121
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 22/07/2025
🆕The effect of past successes on the probability of a current success: evidence from a natural experiment ♟️Adriaan Kalwij investigates the momentum effects to assess chess tournament performance doi.org/10.1093/jrss...
doi.org
The effect of past successes on the probability of a current success: evidence from a natural experiment
Abstract. A theoretical prediction for performance in a tournament is that a player’s performance in a round can be affected by their results in previous r
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 22/07/2025
🆕A framework for studying causal effects of speech style: application to US presidential campaigns 💡Damann, Knox & Lucas develop a formal causal framework to overcome limitations of text-only analyses doi.org/10.1093/jrss...
doi.org
A framework for studying causal effects of speech style: application to US presidential campaigns
Abstract. Numerous disciplines hypothesize about the causal effects of speech, which influences others not only through which words are spoken, but also ho
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 22/07/2025
🆕Spatially selected and dependent random effects for small area estimation with application to rent burden 💡Kawano Parker & Li we introduce a model that accounts for spatial dependence in random effects as well and effect selection latent processes doi.org/10.1093/jrss...
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 30/06/2025
🆕Flexible Bayesian modelling of age-specific counts in many demographic subpopulations 💡Zens proposes a Bayesian model for the joint analysis of age-specific counts in many, potentially small, demographic subpopulations doi.org/10.1093/jrss...
doi.org
Flexible Bayesian modelling of age-specific counts in many demographic subpopulations
Abstract. Analysing age-specific mortality, fertility, and migration patterns is a crucial task in demography with significant policy relevance. In practic
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 30/06/2025
🆕Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework 💡Wigle and Béliveau provide a method for estimating methane inventories that are simple to interpret t.co/wWXhJhmTGq
t.co
https://doi.org/10.1093/jrsssa/qnaf060
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 30/06/2025
🆕The analysis of criminal recidivism: a hierarchical model-based approach for the analysis of zero-inflated, spatially correlated recurring event data 💡Silva et al introduce models that overcome limitations in methods used to analyse criminal recidivism doi.org/10.1093/jrss...
doi.org
The analysis of criminal recidivism: a hierarchical model-based approach for the analysis of zero-inflated, spatially correlated recurring event data
Abstract. The life course perspective in criminology has become prominent in recent years, offering valuable insights into various patterns of criminal pat
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 17/06/2025
🆕Joint estimation of insurance loss development factors using Bayesian hidden Markov models 💡Conor Goold proposes a novel application of Bayesian hidden Markov models to loss development modelling, where latent states are automatically learned from the data. doi.org/10.1093/jrss...
doi.org
Joint estimation of insurance loss development factors using Bayesian hidden Markov models
Abstract. Loss development modelling is the actuarial practice of predicting the total ultimate losses incurred on a set of policies once all claims are re
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 17/06/2025
New: The short-term association between environmental variables and mortality: evidence from Europe 🪶Robben Antonio and Kleinow develop a modelling framework where a baseline model captures a region-specific, seasonal trend observed within weekly mortality rates doi.org/10.1093/jrss...
doi.org
The short-term association between environmental variables and mortality: evidence from Europe
Abstract. Using fine-grained, publicly available data, this article studies the short-term association between environmental factors, i.e. weather and air
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 09/06/2025
A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data 🪶Wen and others developed a zero-inflated beta-binomial model within a spatiotemporal framework to analyze cardiometabolic risk factors (CRFs) doi.org/10.1093/jrss...
doi.org
A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data
Abstract. Cardiometabolic risk factors (CRFs) during pregnancy are early indicators of maternal diseases, such as stroke and type 2 diabetes. The total num
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 09/06/2025
🆕Graphical displays and related statistical measures of health disparities between groups in complex sample surveys 🖌️‪ Ramos ( @mframos.bsky.social ) Graubard & Gastwirth develop measures focused on estimating disparities in health variables related to adverse health status doi.org/10.1093/jrss...
doi.org
Graphical displays and related statistical measures of health disparities between groups in complex sample surveys
Abstract. Different methods for describing health disparities in the distributions of continuous measured health-related variables among groups provide mor
100
Reposted by Journal of the Royal Statistical Society: Series A
Mark Ramos @mframos.bsky.social · 05/06/2025
Our latest paper is now published in @jrssa.bsky.social. We constructed new ways to describe disparity between groups in survey-weighted data. Software to use these methods are now available in the glorenz R-package. #statsky #datascience #dataliteracy #academicsky academic.oup.com/jrsssa/advan...
academic.oup.com
Graphical displays and related statistical measures of health disparities between groups in complex sample surveys
Abstract. Different methods for describing health disparities in the distributions of continuous measured health-related variables among groups provide mor
184
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 03/06/2025
🆕On life table measures of mortality shocks 🪶Juha Alho addresses the limitations of the life table techniques to analyze mortality shocks doi.org/10.1093/jrss...
doi.org
On life table measures of mortality shocks
Abstract. Shocks of short duration on mortality may be caused, e.g. by wars, adverse weather conditions, or epidemics. Although life table methods are a pr
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 03/06/2025
🆕Bayesian unit-level models for longitudinal survey data under informative sampling: an analysis of expected job loss using the Household Pulse Survey 🪶Vedensky et al propose a new unit-level modelling methodology ... doi.org/10.1093/jrss...
doi.org
Bayesian unit-level models for longitudinal survey data under informative sampling: an analysis of expected job loss using the Household Pulse Survey
Abstract. The Household Pulse Survey (HPS), released by the US Census Bureau at the start of the coronavirus pandemic, gathers timely information about the
110
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 03/06/2025
🆕Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies 🪶Blackwell et al. ask if perspective-taking conversations on discrimination can directly affect policy views without changing prejudice doi.org/10.1093/jrss...
doi.org
Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies
Abstract. Recent experimental studies in the social sciences have demonstrated that perspective-taking conversations are effective at reducing prejudicial
100
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 05/05/2025
🆕Real-time modelling of the SARS-CoV-2 pandemic in England 2020–2023: a challenging data integration 🦠Birrell et al. present a deconstruction of one of the ‘real-time’ models that was a key contributor to monitoring current COVID-19 trends 🔓doi/10.1093/jrsssa/qnaf030/8116757
120
Journal of the Royal Statistical Society: Series A @jrssa.bsky.social · 30/04/2025
Hi Bluesky! We arrived. Happy to be friends with all of you so follow us and we'll do the same
010