Notes
My Research Notes
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Topic:
- The Log-Sum-Exp Trick
- Hidden Markov Model and Driving Behavior Modeling: From HMMs to Factorial HMMs to FHMMβIDM β a three-part primer
- Bayesian inference and conjugate priors To be updated
- Prior settings matter in Bayesian inference (variance) To be updated
- Heterogeneity and Hierarchical Models
- Random Effects and Hierarchical Models in Driving Behaviors Modeling
- Proof: unbiasedness of ordinary least squares (OLS)
- From ordinary least squares (OLS) to generalized least squares (GLS)
- Modeling Autocorrelation: FFT vs Gaussian Processes
- Gaussian Processes (GP) for Time Series Forecasting
- A Detailed Introduction to Gaussian Velocity Fields (GVF) Based on Gaussian Processes
- Introduction to Autoregressive (AR) Processes
- Bayesian calibration of car-following models To be updated
- Connections among AR processes, Cochrane-Orcutt correction, Ornstein-Uhlenbeck processes, and Gaussian Processes
- Matrix derivative of Frobenius norm involving Hadamard product
- γη€ΎδΌεδΊ€δΊδΈθͺε¨ι©Ύι©ΆοΌη»ΌθΏ°γ - Enzoηζη« - η₯δΉ
- ε€θΎεΊι«ζ―θΏη¨ (multiple output GP) - Enzoηζη« - η₯δΉ
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Collected Online Blogs and Books (by other researchers)
- Bayesian Data Analysis
- Bayesian Neural Networks
- Pattern Recognition and Machine Learning (PRML)
- Spatiotemporal Data Modeling
- Probabilistic Artificial Intelligence
- ε¦δ½εͺεζδΈΊδΈδΈͺ Top Ph.D. Student
- Sharpen your scientific plotting with an artistβs eye β plottie.art
- Optimization Bootcamp
- Tensor Decompositions for Data Science
- Color palettes β Paul Tolβs notes