Writing
Field Notes
Writing about uncertainty, evidence, and applied data work.
Short essays and technical walkthroughs on Bayesian modeling, forecasting, visualization, research design, and quantitative systems. The goal is to make statistical thinking useful without hiding the assumptions.
Latest Essay
Forecasting Uncertainty: Why Prediction Intervals Matter
A Bayesian walkthrough using the classic AirPassengers dataset to show why forecasts should be treated as distributions, not single-number guesses.
uncertainty
forecast horizon
Bayesian Modeling
Priors, likelihoods, posterior predictive checks, and practical uncertainty communication.
Quantitative Research
Study design, validation, measurement, and translating statistical results into decisions.
Data Visualization
Charts as analytical tools: structure, comparison, uncertainty, and visual storytelling.
Essay Index
All writing entries, newest first.
Forecasting Uncertainty: Why Prediction Intervals Matter
bayesian modeling
forecasting
uncertainty
time series
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