02 Statistical model and estimation Plan of the

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02 Statistical model and estimation

02 Statistical model and estimation

Plan of the course 2

Plan of the course 2

Learning goals • Concept of estimation • Construct estimators • Compare estimators • Exponential

Learning goals • Concept of estimation • Construct estimators • Compare estimators • Exponential family of distribution

Recall •

Recall •

Independent and identically distributed • iid

Independent and identically distributed • iid

Example • iid

Example • iid

Point estimate and point estimator iid • iid

Point estimate and point estimator iid • iid

Nuisance parameter Parameter of interest

Nuisance parameter Parameter of interest

Constructing estimators

Constructing estimators

Moments of a random variable •

Moments of a random variable •

Example: 10 th raw moment of Bernoulli distribution •

Example: 10 th raw moment of Bernoulli distribution •

Example: 2 nd moment of a uniform distribution U(0, 1) •

Example: 2 nd moment of a uniform distribution U(0, 1) •

Method of moments •

Method of moments •

Method of moments •

Method of moments •

Example 2, waiting times •

Example 2, waiting times •

Method of moments - summary • What is the relationship between the parameters of

Method of moments - summary • What is the relationship between the parameters of interest and moments? How many moments are needed? • Compute sample moments based on your data • Compute the estimate of the parameter of interest based on the sample moments • Homework: method of moments for finding parameters of Gamma distribution

Questions?

Questions?

Exponential family of distributions

Exponential family of distributions

Exponential family of distributions •

Exponential family of distributions •

Equivalent forms

Equivalent forms

Why exponential family of distributions? • Much of maximum likelihood estimation revolves around the

Why exponential family of distributions? • Much of maximum likelihood estimation revolves around the derivative of the log-likelihood (called the score) • The score for a distribution in the exponential family straightforward to compute

Example: Bernoulli distribution

Example: Bernoulli distribution

Example: Bernoulli distribution

Example: Bernoulli distribution

Example: Poisson distribution •

Example: Poisson distribution •

Example: Poisson distribution •

Example: Poisson distribution •

Example: Normal distribution, known variance

Example: Normal distribution, known variance

Questions?

Questions?

Least squares estimator •

Least squares estimator •

Least square estimation •

Least square estimation •

Comparing estimators

Comparing estimators

Bias •

Bias •

Example: Sample mean

Example: Sample mean

Bias and mean square error

Bias and mean square error

Example: mean square error

Example: mean square error

Questions? https: //forms. gle/VH 4 ebjyy. Ymqsj. K 4 BA

Questions? https: //forms. gle/VH 4 ebjyy. Ymqsj. K 4 BA