├── README.md ├── ch.3 ├── .ipynb_checkpoints │ ├── Bayesian Spam Detection-checkpoint.ipynb │ ├── Multiple Hypothesis Testing via QPSK-checkpoint.ipynb │ └── Neyman-Pearson Gaussian detectors-checkpoint.ipynb ├── Bayesian Spam Detection.ipynb ├── Multiple Hypothesis Testing via QPSK.ipynb └── Neyman-Pearson Gaussian detectors.ipynb ├── ch.4 ├── .ipynb_checkpoints │ ├── Bayesian Inference with Exponentials-checkpoint.ipynb │ ├── Bias, Variance, and the Bias-variance Trade-off-checkpoint.ipynb │ ├── Machine Learning Sampler-checkpoint.ipynb │ ├── Noisy Deconvolution-checkpoint.ipynb │ └── The Cramer-Rao Bound and Asymptotic Efficiency-checkpoint.ipynb ├── Bias, Variance, and the Bias-variance Trade-off.ipynb ├── Machine Learning Sampler.ipynb ├── Noisy Deconvolution.ipynb └── The Cramer-Rao Bound and Asymptotic Efficiency.ipynb ├── ch.5 ├── .ipynb_checkpoints │ ├── Bayesian Deconvolution-checkpoint.ipynb │ ├── Bayesian Inference with Scalars-checkpoint.ipynb │ ├── Conjugate Priors-checkpoint.ipynb │ ├── Ridge Regression and LASSO-checkpoint.ipynb │ └── Sparse Coding-checkpoint.ipynb ├── Bayesian Deconvolution.ipynb ├── Bayesian Inference with Scalars.ipynb ├── Conjugate Priors.ipynb ├── Ridge Regression and LASSO.ipynb └── Sparse Coding.ipynb ├── ch.6 ├── Kalman Filtering - 2D Kinematics.ipynb ├── Kalman Filtering-Brownian Motion.ipynb └── empty ├── ch1.intro ├── .ipynb_checkpoints │ ├── Course Overview-checkpoint.ipynb │ ├── Denoising via Gradient Descent-checkpoint.ipynb │ ├── Expectation, the Law of Large Numbers, and the Central Limit Theorem-checkpoint.ipynb │ └── Multivariate Gaussians-checkpoint.ipynb ├── Course Overview.ipynb ├── Denoising via Gradient Descent.ipynb ├── Expectation, the Law of Large Numbers, and the Central Limit Theorem.ipynb └── Multivariate Gaussians.ipynb └── course-notes.pdf /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/README.md -------------------------------------------------------------------------------- /ch.3/.ipynb_checkpoints/Bayesian Spam Detection-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.3/.ipynb_checkpoints/Bayesian Spam Detection-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.3/.ipynb_checkpoints/Multiple Hypothesis Testing via QPSK-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.3/.ipynb_checkpoints/Multiple Hypothesis Testing via QPSK-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.3/.ipynb_checkpoints/Neyman-Pearson Gaussian detectors-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.3/.ipynb_checkpoints/Neyman-Pearson Gaussian detectors-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.3/Bayesian Spam Detection.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.3/Bayesian Spam Detection.ipynb -------------------------------------------------------------------------------- /ch.3/Multiple Hypothesis Testing via QPSK.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.3/Multiple Hypothesis Testing via QPSK.ipynb -------------------------------------------------------------------------------- /ch.3/Neyman-Pearson Gaussian detectors.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.3/Neyman-Pearson Gaussian detectors.ipynb -------------------------------------------------------------------------------- /ch.4/.ipynb_checkpoints/Bayesian Inference with Exponentials-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/.ipynb_checkpoints/Bayesian Inference with Exponentials-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.4/.ipynb_checkpoints/Bias, Variance, and the Bias-variance Trade-off-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/.ipynb_checkpoints/Bias, Variance, and the Bias-variance Trade-off-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.4/.ipynb_checkpoints/Machine Learning Sampler-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/.ipynb_checkpoints/Machine Learning Sampler-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.4/.ipynb_checkpoints/Noisy Deconvolution-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/.ipynb_checkpoints/Noisy Deconvolution-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.4/.ipynb_checkpoints/The Cramer-Rao Bound and Asymptotic Efficiency-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/.ipynb_checkpoints/The Cramer-Rao Bound and Asymptotic Efficiency-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.4/Bias, Variance, and the Bias-variance Trade-off.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/Bias, Variance, and the Bias-variance Trade-off.ipynb -------------------------------------------------------------------------------- /ch.4/Machine Learning Sampler.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/Machine Learning Sampler.ipynb -------------------------------------------------------------------------------- /ch.4/Noisy Deconvolution.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/Noisy Deconvolution.ipynb -------------------------------------------------------------------------------- /ch.4/The Cramer-Rao Bound and Asymptotic Efficiency.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.4/The Cramer-Rao Bound and Asymptotic Efficiency.ipynb -------------------------------------------------------------------------------- /ch.5/.ipynb_checkpoints/Bayesian Deconvolution-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/.ipynb_checkpoints/Bayesian Deconvolution-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.5/.ipynb_checkpoints/Bayesian Inference with Scalars-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/.ipynb_checkpoints/Bayesian Inference with Scalars-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.5/.ipynb_checkpoints/Conjugate Priors-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/.ipynb_checkpoints/Conjugate Priors-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.5/.ipynb_checkpoints/Ridge Regression and LASSO-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/.ipynb_checkpoints/Ridge Regression and LASSO-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.5/.ipynb_checkpoints/Sparse Coding-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/.ipynb_checkpoints/Sparse Coding-checkpoint.ipynb -------------------------------------------------------------------------------- /ch.5/Bayesian Deconvolution.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/Bayesian Deconvolution.ipynb -------------------------------------------------------------------------------- /ch.5/Bayesian Inference with Scalars.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/Bayesian Inference with Scalars.ipynb -------------------------------------------------------------------------------- /ch.5/Conjugate Priors.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/Conjugate Priors.ipynb -------------------------------------------------------------------------------- /ch.5/Ridge Regression and LASSO.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/Ridge Regression and LASSO.ipynb -------------------------------------------------------------------------------- /ch.5/Sparse Coding.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.5/Sparse Coding.ipynb -------------------------------------------------------------------------------- /ch.6/Kalman Filtering - 2D Kinematics.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.6/Kalman Filtering - 2D Kinematics.ipynb -------------------------------------------------------------------------------- /ch.6/Kalman Filtering-Brownian Motion.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch.6/Kalman Filtering-Brownian Motion.ipynb -------------------------------------------------------------------------------- /ch.6/empty: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /ch1.intro/.ipynb_checkpoints/Course Overview-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/.ipynb_checkpoints/Course Overview-checkpoint.ipynb -------------------------------------------------------------------------------- /ch1.intro/.ipynb_checkpoints/Denoising via Gradient Descent-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/.ipynb_checkpoints/Denoising via Gradient Descent-checkpoint.ipynb -------------------------------------------------------------------------------- /ch1.intro/.ipynb_checkpoints/Expectation, the Law of Large Numbers, and the Central Limit Theorem-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/.ipynb_checkpoints/Expectation, the Law of Large Numbers, and the Central Limit Theorem-checkpoint.ipynb -------------------------------------------------------------------------------- /ch1.intro/.ipynb_checkpoints/Multivariate Gaussians-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/.ipynb_checkpoints/Multivariate Gaussians-checkpoint.ipynb -------------------------------------------------------------------------------- /ch1.intro/Course Overview.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/Course Overview.ipynb -------------------------------------------------------------------------------- /ch1.intro/Denoising via Gradient Descent.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/Denoising via Gradient Descent.ipynb -------------------------------------------------------------------------------- /ch1.intro/Expectation, the Law of Large Numbers, and the Central Limit Theorem.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/Expectation, the Law of Large Numbers, and the Central Limit Theorem.ipynb -------------------------------------------------------------------------------- /ch1.intro/Multivariate Gaussians.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/ch1.intro/Multivariate Gaussians.ipynb -------------------------------------------------------------------------------- /course-notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/docnok/detection-estimation-learning/HEAD/course-notes.pdf --------------------------------------------------------------------------------