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Journal of Applied Statistics & JAS: Enviro Stats

@JAppliedStats

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

tandfonline.com/cjas
Joined September 2017
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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Data Science in Science (@DataSciScience) profile picture
Data Science in Science@DataSciScienceMay 13
An Efficient, Accurate, and Interpretable Machine Learning Method for Computing Probability of Failure @tandfSTEM tandfonline.com/doi/full/10.…
An Efficient, Accurate, and Interpretable Machine Learning Method for Computing Probability of...

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

We introduce a novel machine learning method called the Penalized Profile Support Vector Machine based on the Gabriel edited set for the computation of the probability of failure for a complex syst...

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Journal of Applied Statistics & JAS: Enviro Stats@JAppliedStats10 Sep 2025
The impact of AI-generated responses on environmental survey data from MTurk @tandfSTEM @tandfenviro #AI #data #survey #environment tandfonline.com/doi/full/10.…
The impact of AI-generated responses on environmental survey data from MTurk

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

This study investigates the impact of nonhuman, AI-generated responses on data quality in a climate change survey conducted via Amazon’s Mechanical Turk (MTurk). As MTurk remains a popular platform...

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Paul Naish (@PaulNaish78) profile picture
Paul Naish@PaulNaish7817 Oct 2025
JAS: ESDS - now online to read and submit! xitter.gq/JAppliedStats/status/1…
Journal of Applied Statistics & JAS: Enviro Stats (@JAppliedStats) profile pictureJournal of Applied Statistics & JAS: Enviro Stats@JAppliedStats4 Oct 2024
𝙎𝙪𝙗𝙢𝙞𝙩 𝙔𝙤𝙪𝙧 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝: Journal of Applied Statistics: Environmental Statistics and Data Science tandfonline.com/journals/tje…
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Paul Naish (@PaulNaish78) profile picture
Paul Naish@PaulNaish7830 Sep 2025
New Journal alert - ASA Discoveries! New OA journal from the American Statistical Association and published by @tandfonline @tandfSTEM Check out the opening Editorial below! ⬇️⬇️⬇️⬇️⬇️⬇️⬇️ tandfonline.com/doi/full/10.…
Editorial

Editorial

Published in ASA Discoveries (Vol. 1, No. 1, 2025)

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Journal of Applied Statistics & JAS: Enviro Stats@JAppliedStats4 Feb 2025
Clustering of recurrent events data tandfonline.com/doi/full/10.…
Clustering of recurrent events data

Clustering of recurrent events data

Nowadays data are often timestamped, thus, when analysing the events which may occur several times (recurrent events), it is desirable to model the whole dynamics of the counting process rather tha...

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
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Journal of Applied Statistics & JAS: Enviro Stats@JAppliedStats25 Jul 2025
Optimal group sizes for testing group mean differences using the Bayes factor tandfonline.com/doi/full/10.…
Optimal group sizes for testing group mean differences using the Bayes factor

Optimal group sizes for testing group mean differences using the Bayes factor

Determination of group sizes is an important issue when planning a study that aims to compare mean outcomes across groups. Using equal group sizes is not the best choice in the case of heterogeneou...

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Data Science in Science (@DataSciScience) profile picture
Data Science in Science@DataSciScience10 Jul 2025
Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events tandfonline.com/doi/full/10.…
Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events

Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events

Marginal structural models (MSMs) are recognized as useful methods for addressing the issue of time-varying confounding in longitudinal studies. In the analyses of longitudinal data with binary out...

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Paul Naish (@PaulNaish78) profile picture
Paul Naish@PaulNaish786 Jun 2025
Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer @JAppliedStats tandfonline.com/doi/full/10.…
Latent class profile model with time-dependent covariates: a study on symptom patterning of...

Latent class profile model with time-dependent covariates: a study on symptom patterning of...

The latent class profile model (LCPM) is a widely used technique for identifying distinct subgroups within a sample based on observations' longitudinal responses to categorical items. This paper pr...

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Data Science in Science (@DataSciScience) profile picture
Data Science in Science@DataSciScience7 Apr 2025
Great news! Data Science in Science has been accepted into Scopus! @tandfSTEM #Scopus #DataScience
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Hideyasu Shimadzu (@hshimadzu) profile picture
Hideyasu Shimadzu@hshimadzu17 Mar 2025
A new applied stats journal featuring environmental statistics and data science!
Journal of Applied Statistics & JAS: Enviro Stats (@JAppliedStats) profile pictureJournal of Applied Statistics & JAS: Enviro Stats@JAppliedStats12 Feb 2025
Opening Editorial for JAS:ESDS now online! Introducing Journal of Applied Statistics: Environmental Statistics and Data Science @tandfSTEM @tandfonline #statistics #datascience #environment #climate tandfonline.com/doi/full/10.…
Introducing Journal of Applied Statistics: Environmental Statistics and Data Science

Introducing Journal of Applied Statistics: Environmental Statistics and Data Science

Published in Journal of Applied Statistics: Environmental Statistics and Data Science (Vol. 1, No. 1-4, 2025)

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Statistics (@Statistics_Jour) profile picture
Statistics@Statistics_Jour26 Nov 2024
New Article Collection (free to read!): 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 tandfonline.com/journals/gst…
Machine learning and Statistical learning

Machine learning and Statistical learning

Explore the article collection: Machine learning and Statistical learning. Published in Statistics.

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Data Science in Science (@DataSciScience) profile picture
Data Science in Science@DataSciScience5 Nov 2024
Time-Varying ℓ0 Optimization for Spike Inference from Multi-Trial Calcium Recordings tandfonline.com/doi/full/10.…
Time-Varying ℓ0 Optimization for Spike Inference from Multi-Trial Calcium Recordings

Time-Varying ℓ0 Optimization for Spike Inference from Multi-Trial Calcium Recordings

Optical imaging of genetically encoded calcium indicators is a powerful tool to record the activity of a large number of neurons simultaneously over a long period of time from freely behaving anima...

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Paul Naish (@PaulNaish78) profile picture
Paul Naish@PaulNaish7823 Oct 2024
Mapping Conservation Practices via Deep Learning: Improving Performance via Hillshade Imagery, Sampling Design, and Centerline Dice Loss @amstatnews @tandfSTEM #DeepLearning #Images #Conservation tandfonline.com/doi/full/10.…
Mapping Conservation Practices via Deep Learning: Improving Performance via Hillshade Imagery,...

Mapping Conservation Practices via Deep Learning: Improving Performance via Hillshade Imagery,...

The Iowa Best Management Practice (BMP) Mapping Project is a GIS database of conservation practices installed in Iowa’s fields as seen in aerial imagery from 2007 to 2010. In this study, we explore...

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Journal of Applied Statistics & JAS: Enviro Stats (@JAppliedStats) profile picture
Journal of Applied Statistics & JAS: Enviro Stats@JAppliedStats4 Oct 2024
𝙎𝙪𝙗𝙢𝙞𝙩 𝙔𝙤𝙪𝙧 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝: Journal of Applied Statistics: Environmental Statistics and Data Science tandfonline.com/journals/tje…
Image from Journal of Applied Statistics & JAS: Enviro Stats (@JAppliedStats)
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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Data Science in Science (@DataSciScience) profile picture
Data Science in Science@DataSciScience11 Oct 2024
Nonparametric Modeling of Diffusion MRI Signal in Q-Space tandfonline.com/doi/full/10.…
Nonparametric Modeling of Diffusion MRI Signal in Q-Space

Nonparametric Modeling of Diffusion MRI Signal in Q-Space

This paper describes a novel nonparametric model for modeling diffusion MRI signals in q-space. In q-space, the diffusion MRI signal is measured for a sequence of diffusion sensitivities (b-values)...

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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Journal of Applied Statistics & JAS: Enviro Stats (@JAppliedStats) profile picture
Journal of Applied Statistics & JAS: Enviro Stats@JAppliedStats29 Aug 2024
Exciting update! We are about to launch a new Sister journal!: 𝗝𝗼𝘂𝗿𝗻𝗮𝗹 𝗼𝗳 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀: 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝗮𝗹 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 More soon! #Environmental #Statistics #DataScience tandfonline.com/journals/tje…
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Rob Calver (@RobCalver5) profile picture
Rob Calver@RobCalver54 Sep 2024
Sorry to say that Taylor and Francis have gone missing from the @CRC_MathStats at @RSSAnnualConf. If anyone sees them please return asap! #RSSConf2024 #Statistics #RStats #DataScience @lara_crc @tandfSTEM
Image from Rob Calver (@RobCalver5)
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Paul Naish (@PaulNaish78) profile picture
Paul Naish@PaulNaish781 Sep 2024
Here’s an account worth following ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️
Econometric Reviews (@MetricReviews) profile pictureEconometric Reviews@MetricReviews20 Aug 2024
Econometric Reviews (ER) has just launched its X account. We greatly appreciate any feedback you may have for the journal.
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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Econometric Reviews (@MetricReviews) profile picture
Econometric Reviews@MetricReviews20 Aug 2024
Econometric Reviews (ER) has just launched its X account. We greatly appreciate any feedback you may have for the journal.
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Journal of Applied Statistics & JAS: Enviro Stats retweeted
Paul Naish (@PaulNaish78) profile picture
Paul Naish@PaulNaish7816 Aug 2024
New Journal Alert!!! 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: A Message from the Founding Editors @AmstatNews @tandfSTEM #statistics #datascience #imaging tandfonline.com/doi/full/10.…
Statistics and Data Science in Imaging: A Message from the Founding Editors

Statistics and Data Science in Imaging: A Message from the Founding Editors

Published in Statistics and Data Science in Imaging (Vol. 1, No. 1, 2024)

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