Journal of Applied Statistics & JAS: Enviro Stats

Journal of Applied Statistics + Journal of Applied Statistics: Environmental Statistics and Data Science (new sister journal).

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

𝙎𝙪𝙗𝙢𝙞𝙩 𝙔𝙤𝙪𝙧 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝:

Journal of Applied Statistics: Environmental Statistics and Data Science

https://t.co/jvPomEcRFu

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Short-term forecasting of human-caused wildland fire occurrence: a case study for two regions in Ontario, Canada

@tandfSTEM @tandfenviro https://t.co/B40a0hfyUC

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Extreme temperatures on the Greenland ice sheet: a spatial model

@tandfSTEM @tandfenviro #Greenland #SDG #Ice #ClimateChange #Statistics https://t.co/ZB4QGJLFVV

[Data Science in Science @DataSciScience]

An Efficient, Accurate, and Interpretable Machine Learning Method for Computing Probability of Failure

@tandfSTEM https://t.co/0BMWqBz0kH

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Non-parametric analysis of transient data: a pseudo-competing event approach https://t.co/btb8AlTodQ

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework https://t.co/MohuwPj2xB

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National COVID Collaborative Cohort data https://t.co/u6GB69nhQA

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

The impact of AI-generated responses on environmental survey data from MTurk

@tandfSTEM @tandfenviro #AI #data #survey #environment https://t.co/j1J1n8VImY

[Paul Naish @PaulNaish78]

JAS: ESDS - now online to read and submit!

https://t.co/PvViSaHC4c

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Bayesian partially-protected regularization as a model selection tool https://t.co/4OMdEEmyLh

[Paul Naish @PaulNaish78]

New Journal alert - ASA Discoveries! New OA journal from the American Statistical Association and published by @tandfonline @tandfSTEM

Check out the opening Editorial below!
⬇️⬇️⬇️⬇️⬇️⬇️⬇️ https://t.co/LSnsfKNCwq

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Empirical determination of baseball eras: multivariate change point analysis in major league baseball https://t.co/20UmnOxo4S

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

APCanalysis: an R package for identifying active factors using the APC method https://t.co/5ZH36LGPm0

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

The impact of AI-generated responses on environmental survey data from MTurk

@tandfSTEM @tandfenviro #AI #data #survey #environment https://t.co/j1J1n8VImY

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Non-parametric treatment effect bounds for left-censored outcomes: estimating the effect of herbicide use on 2,4-D exposure https://t.co/pUdjN8YD3b

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Clustering of recurrent events data https://t.co/alMdEsWHad

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Optimal group sizes for testing group mean differences using the Bayes factor https://t.co/lF3HFW0FKt

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Optimal group sizes for testing group mean differences using the Bayes factor https://t.co/lF3HFW0FKt

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Efficient spline orthogonal basis for representation of density functions https://t.co/91UCWol3Mv

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Bridging mechanistic and data-driven models: a novel framework for epidemic forecasting https://t.co/tAMCJizQtn

[Journal of Applied Statistics & JAS: Enviro Stats @JAppliedStats]

Forecasting hourly foodservice sales during geopolitical and economical disruption using zero-inflated mixed effects models https://t.co/270rPGv1uq