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      • 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
      • A Demand System Approach to Asset Pricing
      • A Local Projections Approach to Difference-in-Differences Event Studies
      • A Neural Phillips Curve and a Deep Output Gap
      • A Preliminary Report on Distro
      • An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output
      • An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data
      • Autoregressive models
      • Ben Franklin's Autoencoder
      • Beveridge-Nelson Decomposition
      • boosting
      • Boosting: Why You Can Use the Hp Filter
      • Career success and career capital are cointegrated
      • Careers are a random walk
      • Change leads to insight far more often than insight leads to change
      • Combining Induction and Transduction for Abstract Reasoning
      • Correlation between prices and quantities reveals main market driver
      • Delta method
      • Diffusion models
      • Do Common Factors Really Explain the Cross-Section of Stock Returns?
      • Don't detrend random walks with linear trends
      • Don't rely on inspiration to write
      • Dynamic Causal Effects in a Nonlinear World: The Good, the Bad, and the Ugly
      • Dynamic covariate balancing: Estimating treatment effects over time with potential local projections
      • Dynamic factor model
      • Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics
      • Essays in Macroeconometrics
      • Exogeneity
      • Exponentials drive asymmetry
      • FAQ: How do I extract the output gap?
      • Fat tails preclude ergodicity
      • First impression are high variance
      • Focus on the residuals
      • For the effectual reasoner, residuals are inputs rather than outputs
      • Forecast Error Variance Decompositions with Local Projections
      • Forecasting levels of log variables in vector autoregressions
      • Generalized Method of Moments
      • Generalized Random Forests
      • Get leverage on the fixed cost of pain
      • Goals should be binomial
      • Good ideas are testable ideas
      • Good representations reduce sample complexity of downstream tasks
      • Government Debt in Mature Economies. Safe or Risky?
      • Granular IV
      • Granularity
      • Growth and Ideas
      • Hamilton filter
      • Highly likely events do not yield much information
      • Hodrick-Prescott Filter
      • How Big Is the Random Walk in GNP?
      • How Competitive is the Stock Market? Theory, Evidence from Portfolios, and Implications for the Rise of Passive Investing
      • How do central banks control inflation? A guide for the perplexed
      • How the Wealth Was Won: Factor Shares as Market Fundamentals
      • Ideas generate increasing returns because they are nonrivalrous
      • Identification and Estimation of Dynamic Causal Effects in Macroeconomics Using External Instruments
      • If you're not sure something is getting better, it's not
      • Impulse Response Estimation by Smooth Local Projections
      • In the long-run, all costs are variable
      • Inference in Heavy-Tailed Nonstationary Multivariate Time Series
      • Information is relative
      • Information is surprisal
      • Interaction generates non-normality
      • Invest in companies like you invest in your career
      • Iterative tinkering enhances effective IQ
      • Just do more
      • Labor relationships have debt-like features
      • Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I ( 1 ) cointegrated factors
      • Lasso Inference for High-Dimensional Time Series
      • Learned representations are more important than what you do with them
      • Linear Algebra Done Right
      • Linearly separable problems are easy to solve
      • Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
      • Local projections
      • Local projections vs. VARs
      • Local Projections vs. VARs: Lessons From Thousands of DGPs
      • Logs with Zeros? Some Problems and Solutions
      • Look for high talent and high agency
      • Many-Shot In-Context Learning
      • Mathematical Foundations of Machine Learning
      • Maximize the entropy of your information sources
      • Maximize your output of testable ideas
      • Model Selection for Local Projections Instrumental Variable Methods - Empirical Application to Government Spending Multipliers.
      • Model-Free Impulse Responses
      • Moving average model
      • Network egress is a lock-in tactic for public cloud providers
      • Not all spurious correlation is random
      • O-Ring Automation
      • Observe before you analyze
      • Origins of Stock Market Fluctuations
      • Perfect competition is not optimal under increasing returns to scale
      • Planning your time is like choosing to dance on beat
      • Pre-train your representations before learning judgement
      • Prediction is compression, compression is expression
      • Principal component analysis
      • Principal Component Analysis for Nonstationary Series
      • Principal components estimation and identification of static factors
      • Priors in Time: Missing Inductive Biases for Language Model Interpretability
      • published
      • R&D Uncertainty and Cycles
      • Random walk
      • Recursive Language Models
      • reduced form
      • reinforcement learning
      • RLHF
      • Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
      • self-supervised learning
      • shock
      • Short and Variable Lags
      • Sparse Trend Estimation
      • Subset selection for vector autoregressive processes using Lasso
      • Systematic shifts in scaling behavior based on organizational strategy in universities
      • Tariffs and Growth: Heterogeneous Effects by Economic Structure
      • The Adaptive Lasso and Its Oracle Properties
      • The Bayesian Lasso
      • The Disappointing Recovery of Output after 2009
      • The Emerging Market for Intelligence: Pricing, Supply, and Demand for LLMs
      • The Free Transformer
      • The Liquidity Channel of Fiscal Policy
      • The Productivity Slowdown in Advanced Economies: Common Shocks or Common Trends?
      • The risk and return of venture capital
      • Towards a Science of Scaling Agent Systems
      • Trend filtering
      • Unbiased estimation of expected return using CAPM
      • Under fat tails, look for quick reasons to say yes
      • Under fat tails, outliers drive movements in the mean
      • Under fat tails, unbiasedness is overrated
      • Use TK liberally
      • Vector autoregression
      • VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
      • Volatility is information
      • What makes entrepreneurs entrepreneurial
      • When in doubt, don't difference
      • When unskilled, complicate the game and add randomness
      • Why did we think wages are rigid for all those years?
      • Why Has the US Economy Recovered So Consistently from Every Recession in the Past 70 Years?
      • Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline
      • With the right representation, judgement is cheap
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    Tag: inbox/process

    Tag: inbox/process

    3 items with this tag.

    • Feb 01, 2026

      Boosting: Why You Can Use the Hp Filter

      • literature/paper
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      • inbox/process
      • online
    • Feb 01, 2026

      Tariffs and Growth: Heterogeneous Effects by Economic Structure

      • literature/paper
      • inbox/read
      • inbox/process
      • online
    • Feb 01, 2026

      An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data

      • literature/paper
      • inbox/read
      • inbox/process
      • online

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