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Explaining statistical modelling
12+ hour, 16+ min 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…...
Part 4: Understanding Probability in Data Science
4+ day, 23+ hour 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…...
Empowering Young Researchers with Hands-On Workshop on “Statistics in Biology Using R” | UoH Herald
5+ day, 1+ hour 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,…...
Fika with a statistician in Solna
6+ day, 5+ hour 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…...
Bayesian Data Analysis course - Aalto 2026
6+ day, 19+ 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…...
How Linear and Nonlinear Time Warping Affect Time-Series Classification
1+ 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,…...
When Are Advanced Statistical Methods Actually Necessary?
1+ week, 4+ day ago (1204+ words) Suppose researchers are studying whether heart rate is associated with the risk of arrhythmia. A linear regression may run without any …...
Bootstrap 101: One For-Loop, Any Confidence Interval
1+ week, 5+ day ago (33+ words) The median has no standard error formula. Five lines of Python give you an interval anyway, and the same five lines work for a correlation, an …...
The Experiment Was Perfect. So Why Did the Result Fail?
2+ week, 20+ hour ago (210+ words) Randomization, control groups, and confounding — told as the mystery they actually are. A pharmaceutical team runs a trial for a new drug …...
Why Statistics Is the Backbone of Data Science
2+ week, 1+ day ago (485+ words) Statistics isn't a supporting subject in data science, it's the thing that makes the "science" part of data science actually mean something. This is really the core value statistics brings: it's the discipline of reasoning carefully under uncertainty, instead of…...