Statistics & Probability

Inference, estimators, Bayesian methods, and uncertainty quantification.

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medium.com > @shuvam221 > i-checked-whether-my-models-90-confidence-actually-meant-90-most-didn-t-4c1966d46b54

I Checked Whether My Models’ 90% Confidence Actually Meant 90%. Most Didn’t.

1+ day, 10+ hour ago   (31+ words) Another fully real one — no composite scenario. Every number below came out of an actual script run just now …...


medium.com > @faisalmsiddique > cuped-how-to-make-your-a-b-test-smarter-without-finding-more-users-90cf9cecb681

CUPED: How to Make Your A/B Test Smarter Without Finding More Users

1+ day, 22+ hour ago   (694+ words) An intuitive, no-heavy-math guide to one of the most useful ideas in product experimentation to not get DUPED. Imagine you’re a …...


medium.com > @atticusli > choosing-the-right-statistical-test-for-your-a-b-experiment-7b2df01c8e20

Choosing the Right Statistical Test for Your A/B Experiment

2+ day, 16+ hour ago   (1316+ words) Not all A/B tests use the same statistics. Learn which test to use for conversion rates, revenue, count data, and small samples — with a …...


thehansindia.com > news > cities > vijayawada > role-of-data-science-in-modern-technology-highlighted-1119817

Role of data science in modern technology highlighted

5+ day, 22+ hour ago   (300+ words) APCRDA Officer Dr N Srinivas being felicitated at Andhra Loyola College in Vijayawada on Tuesday Vijayawada: APCRDA Officer Dr N Srinivas highlighted the growing relationship between data science and modern technology while addressing students at the national conference on “Advances…...


ppc.land > statistical-modelling

Explaining statistical modelling

1+ week, 1+ day ago   (421+ words) Statistical modelling estimates advertising figures nobody observed, from data somebody did. How modelled conversions, panel projection and mix models work. Two properties of that process matter more than the mathematics. The subgroups are the model's assumption: it holds that unobserved users…...


dev.to > sharonnyabuto > part-4-understanding-probability-in-data-science-235n

Part 4: Understanding Probability in Data Science

1+ week, 5+ day ago   (1758+ words) Statistics for Data Science Series Part 1: Why Statistics Matters in Data Science Part 2: Descriptive Statistics: A Beginner's Guide Part 3: Understanding Distributions in Data Science Part 4: Understanding Probability in Data Science Dataset: healthaccess_data_mini.csv Part 4: Understanding Probability in Data Science In out…...


herald.uohyd.ac.in > empowering-young-researchers-with-hands-on-workshop-on-statistics-in-biology-using-r

Empowering Young Researchers with Hands-On Workshop on “Statistics in Biology Using R” | UoH Herald

1+ week, 5+ day ago   (397+ words) Empowering Young Researchers with Hands-On Workshop on “Statistics in Biology Using R” herald.uohyd.ac.in Empowering Young Researchers with Hands-On Workshop on “Statistics in Biology Using R” The Department of Systems and Computational Biology (DoSCB), School of Life Sciences,…...


news.ki.se > calendar > fika-with-a-statistician-in-solna

Fika with a statistician in Solna

1+ week, 6+ day ago   (159+ words) Come and join our informal drop-in sessions for advice and support in statistics!From 10 September to 10 December, Clinicum will be available at Restaurant Livet (Karolinska University Hospital, Solna), on Thursdays from 15:30-16:30 pm. Whether you are at an early planning stage…...


avehtari.github.io > BDA_course_Aalto > Aalto2026.html

Bayesian Data Analysis course - Aalto 2026

2+ week, 8+ hour ago   (390+ words) All the course material is available in a git repo and in Panopto, (and these pages are for easier navigation). All the material can be used in other courses. Text and videos licensed under CC-BY-NC 4.0. Code licensed under BSD-3. Please…...


bioengineer.org > how-linear-and-nonlinear-time-warping-affect-time-series-classification-robustness

How Linear and Nonlinear Time Warping Affect Time-Series Classification

2+ week, 2+ day ago   (71+ words) A new study suggests that the way researchers create “in-between” examples for testing artificial intelligence can fundamentally change their conclusions about whether a model is robust. The finding matters most for time-series classifiers used in high-stakes settings such as healthcare,…...