Marimo Notebooks
Browser-side interactive notebooks built with marimo. They run entirely in your browser — no install required. Links open in a new tab.
- AR(1) Autocorrelation and PSD
- Bayesian Risk: Mushroom Foraging
- Bernoulli CRB and Fisher Information
- Combining Two Sources: Precision-Weighted Mean
- Conditioning a Joint Distribution: Slices and Dependence
- Covariance, Mahalanobis Distance, and Whitening
- Delay-and-Sum vs MVDR Beamforming
- Dice Mean Estimator
- Eigenfaces: KLT Compression and Latent Generation
- Expectation, Moments, and Jensen’s Inequality
- From Regression to Filtering
- Functions of a Random Variable
- Gaussian ML: Mean & Variance
- Guitar Amp Identification: Basis Functions
- Hierarchy of Estimators
- Interval Estimation (Confidence Intervals)
- Iris ML Classification
- Kalman Tracking: Model and Innovations
- Linear MMSE Regression on Iris
- Linear Regression: Least Squares to MMSE
- Many Sensors, One Hidden Signal: Multi-Observation LMMSE
- Matched Filter Detection
- Mean Tests: Known vs Unknown Variance
- ML Mean Estimation
- Neyman–Pearson ROC: Burglary Alarm
- Normal Variance Estimator
- Prior to Posterior: Earth’s Land Fraction
- Sensor Fusion: Precisions Add
- Single-Channel Noise Suppression
- Sparse Deconvolution: Gaussian vs Laplacian Priors
- Weather: Innovation Filtering via Spectral Factorization
- Wiener: Smoothing, Filtering, Prediction