User:Bkraines/Books/Econometrics
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Econometrics[edit]
- Portfolio Theory
- Capital asset pricing model
- Modern portfolio theory
- Security market line
- Optimization
- Convex function
- Convex optimization
- Ordinary least squares
- Least squares
- Lagrange multipliers
- Karush–Kuhn–Tucker conditions
- Mathematics
- Matrix multiplication
- Invertible matrix
- Determinant
- Positive-definite matrix
- Moment-generating function
- Eigenvalue, eigenvector and eigenspace
- Cauchy–Schwarz inequality
- Hölder's inequality
- Differentiation under the integral sign
- Statistics
- Random variable
- Expected value
- Standard deviation
- Variance
- Covariance
- Law of the unconscious statistician
- Distributions
- Normal distribution
- Chi-square distribution
- Gamma distribution
- Beta distribution
- Poisson distribution
- Binomial distribution
- Polygamma function
- Joint probability distribution
- Student's t-distribution
- F-distribution
- Stein's lemma
- Inner product space
- Hypothesis Testing
- Null hypothesis
- Alternative hypothesis
- Student's t-test
- P-value
- F-test
- Bayseian Probability
- Conditional probability
- Bayesian inference
- Prior probability
- Likelihood function
- Marginal likelihood
- Posterior probability
- Time Series
- Monte Carlo method
- Markov chain
- Markov chain Monte Carlo
- Moving average model
- Autoregressive model
- Autoregressive conditional heteroskedasticity
- Other
- Gibbs sampling
- Cholesky decomposition
- Bayes' theorem
- Probability density function
- Cumulative distribution function
- User:Bkraines/Books/Econometrics
- Portfolio Theory
- Capital asset pricing model
- Modern portfolio theory
- Security market line
- Optimization
- Convex function
- Convex optimization
- Ordinary least squares
- Least squares
- Lagrange multipliers
- Karush–Kuhn–Tucker conditions
- Mathematics
- Matrix multiplication
- Invertible matrix
- Determinant
- Positive-definite matrix
- Moment-generating function
- Eigenvalue, eigenvector and eigenspace
- Cauchy–Schwarz inequality
- Hölder's inequality
- Differentiation under the integral sign
- Statistics
- Random variable
- Probability density function
- Cumulative distribution function
- Expected value
- Standard deviation
- Variance
- Covariance
- Law of the unconscious statistician
- Distributions
- Normal distribution
- Chi-square distribution
- Gamma distribution
- Beta distribution
- Poisson distribution
- Binomial distribution
- Polygamma function
- Joint probability distribution
- Student's t-distribution
- F-distribution
- Stein's lemma
- Inner product space
- Hypothesis Testing
- Null hypothesis
- Alternative hypothesis
- Student's t-test
- P-value
- F-test
- Bayseian Probability
- Conditional probability
- Bayes' theorem
- Bayesian inference
- Prior probability
- Likelihood function
- Marginal likelihood
- Posterior probability
- Time Series
- Moving average model
- Autoregressive model
- Autoregressive conditional heteroskedasticity
- Monte Carlo method
- Markov chain
- Markov chain Monte Carlo
- Gibbs sampling
- Cholesky decomposition
- Other