Statistics

A world-leading journal exploring all aspects of theoretical and applied statistics.

[Paul Naish @PaulNaish78]

Exact optimal statistical inference for the coefficient of determination

@Statistics_Jour https://t.co/WKASwvft3s

[Paul Naish @PaulNaish78]

Quantum geometric-entropic optimization for customer lifetime value prediction: convergence theory and an empirical study on transactional retail data

@Statistics_Jour https://t.co/WoLiDve9gW

[Paul Naish @PaulNaish78]

Goodness-of-fit tests or measuring contamination fractions?

@Statistics_Jour https://t.co/cQSh5OMFIY

[Data Science in Science @DataSciScience]

Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study https://t.co/HJwlaKJzQL

[Paul Naish @PaulNaish78]

JAS: ESDS - now online to read and submit!

https://t.co/PvViSaHC4c

[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

[Data Science in Science @DataSciScience]

SeasCen, A Python-Based Platform for Time Series Modeling and Seasonal Adjustment https://t.co/yrG964XeD6

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

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

[Data Science in Science @DataSciScience]

Great news! Data Science in Science has been accepted into Scopus!

@tandfSTEM #Scopus #DataScience

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

Opening Editorial for JAS:ESDS now online!

Introducing Journal of Applied Statistics: Environmental Statistics and Data Science

@tandfSTEM @tandfonline #statistics #datascience #environment #climate https://t.co/Du29EQv8Gs

[Paul Naish @PaulNaish78]

Influence of the slope in percentile estimation through binary regression for dose-finding experiments

@Statistics_Jour https://t.co/mmnWqufXEb

[Statistics @Statistics_Jour]

New Article Collection (free to read!):

𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴

https://t.co/dBHiJKrd2L

[Yuya Sasaki @YuyaSasaki12]

I asked Prof. Badi Baltagi to interview Prof. Essie Maasoumi in recognition of his remarkable 37 years of service as editor. Thank you, Badi, for conducting such a wonderful interview, and thank you, Essie, for your unwavering dedication. https://t.co/lgtyb1j2u7

[Statistics @Statistics_Jour]

Evaluating SAFE AI principles using Wasserstein distance: a comparative study of Machine Learning models https://t.co/Y1yeh3Vek9

[Paul Naish @PaulNaish78]

Five or Ten New Proofs of the Pythagorean Theorem

@maanow @tandfSTEM
https://t.co/sRECfNOzKw

[Statistics @Statistics_Jour]

Evaluating SAFE AI principles using Wasserstein distance: a comparative study of Machine Learning models https://t.co/Y1yeh3Vek9

[Taylor & Francis Research Insights @tandfonline]

Spend the day with one of our Portfolio Managers!

@MCM_tf is one of our PMs in our Physical Science & Engineering team, handling 20 different statistics and data science journals🧑‍🔬

Here's what a typical day looks like for her 😊🐶☕💻

#AcadmicChatter #AcademicPublishing

[Paul Naish @PaulNaish78]

New article!

𝗦𝗼𝗹𝗮𝗿 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: 𝗔 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝘃𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗻𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀

#Space #Data #Imaging https://t.co/6bTLKKsl6c

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

Developing predictive precision medicine models by exploiting real-world data using machine learning methods https://t.co/7J3m9fGqS9

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

𝙎𝙪𝙗𝙢𝙞𝙩 𝙔𝙤𝙪𝙧 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝:

Journal of Applied Statistics: Environmental Statistics and Data Science

https://t.co/jvPomEcRFu