Rex W. Douglass PhD
  • Projects
  • ML and Stats Notes
  • Résumé

  • Chapters
    • Algebra
      • Dot product
    • Algorithms
      • Search Algorithms
      • Sorting Algorithms
    • Arithmetic
      • Addition
      • Division
      • Equality
      • Exponent
      • Integer Division
      • Modulo
      • Multiplication
      • Subtraction
    • Calculus
      • Automatic Differentiation
      • Derivative
    • Calibration
      • Calibration
      • Conformal Prediction
    • Causality
      • Collapsibility
      • Compliance
      • Consistency
      • Correct model specification
      • Missing Data Mechanism
      • No conditioning on a collider
      • No conditioning on Mediators
      • No Interference
      • No Relevant Effect Modification
      • No Relevant Measurement Error
      • No unmeasured confounders
      • Positivity
      • Recoverability
      • Testability
      • Transparency
    • Communication
      • Markdown
    • Computation
      • O-notation
      • Parallelization
      • Vectorization
    • Control Flow
      • If / Else / Where
    • Data
      • Imagery
      • Tabular
      • Text
    • Data Loading
      • Data Loaders (for GPU)
    • Data Transformation
      • Filter
      • Fuzzy Recording Matching
      • Joins
      • Regex
      • Slicing
    • Databases
      • Arrow
      • DuckDB
      • Postgres
    • Domain
      • External Validity
      • Internal Validity
      • Matching
      • Outcome regressions / Response Surface Modeling
      • Outliers
      • Poststratification
      • Regime Change
      • Transportability
    • Estimation
      • Asymptotics
      • Bayesianism
      • Bias
      • Bias Variance Tradeoff
      • Frequentism
      • Out of Sample Performance
      • P Values
      • Performance
      • Regularization
      • Variance
    • Hypothesis Testing
      • {.unnumbered}
      • Critiques of Hypothesis Testing
      • Hypothesis Testing
      • Statistical Power
      • Wilcoxon signed-rank test
    • Identification Strategies
      • Difference in Difference
      • Double / Debiased ML
      • Fixed Effects
      • Granger Causality
      • Instrumental Variables
      • Placebo Tests
      • Random Control Trials
      • Regression Discontinuity (RDD)
      • Synthetic Controls
    • Images
      • Annotating Images
      • Remote Sensing
      • You Only Look Once (Yolo)
    • Industry
      • Case Studies
      • Companies
      • Gossip
      • Interview Questions
      • Jobs
      • Practice Coding
      • Salaries
    • Languages
      • Bash
      • Git
      • jax
      • Numpyro
      • pyro
      • Python
      • R
      • SQL
      • Stan
      • tensorflow
    • Likelihood
      • Likelihood Function
      • Maximum Likelihood Estimation (MLE)
    • Literature
      • Broad Literature
      • Finding Papers
      • Information Theory
      • Overview Literature
      • Statistics Literature
    • Logic
      • And
      • Or
    • Math and Data Structures
      • Boolean
      • Dictionary
      • Floating Point Numbers (Floats)
      • Function
      • Graphs
      • Hash Table
      • Jobs
      • Linked Lists
      • List (Sequence)
      • NaN (Not a Number)
      • NULL
      • Set
      • Stacks and Queues
      • Table
      • Trees
      • Vector / Matrix / Tensor
    • Measurement
      • Data Reliability
      • Data Validity
    • Meta Science
      • Meta Reviews
      • Null Results
      • Open Science
      • Replicability
      • Sociology of Inference
    • Multilevel Modeling
      • 1-way Fixed Effecs
      • 2-way Fixed Effects
      • Fully Pooled
      • random effects
    • Neural Networks
      • Contrastive Learning
      • Curriculum Learning
      • Neural Network Debugging
      • Self-prediction
    • Probability
      • Entropy
      • Maximum Entropy Distribution
      • Mean
      • Normal Distribution
      • Poisson
      • Probability Case Studies
      • Probability distribution
      • Probability Mass/Density Function (PMF/PDF)
    • Production
      • Deployment
      • Monitoring Experiments
    • Random Variables
      • Exchangeable
      • Independent and identically distributed random variables (IID)
      • Random Variable
    • Reinforcement Learning
      • Reinforcement Learning
    • Research Design
      • Backdoor Adjustment
      • Confounder
      • Estimand
      • Garden of Forking Paths
      • Identification
      • Potential Outcomes
      • Project Design
      • Research Design Directed Acyclic Graphs (DAGs)
      • Unit of Analysis
      • Unobserved Confounding
    • Statistics
      • Consistency
      • Domain / Generalizability / Transportability
      • Efficiency
      • Population
      • Sufficiency
      • Variation
    • Supervised Learning
      • Decision Trees
      • Gaussian Processes
      • Gradientboosting
      • Interactions
      • OLS
      • Random Forest
    • Survival
      • Survival Models
    • Text
      • Large Language Models (LLM)
    • Time Series
      • Kalman Filter
    • Unsupervised Learning
      • Distance Metrics
      • Hierarchical Clustering
      • K-means Clustering
Regex
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