overview-commands-plus-output.tex

\documentclass{article}

% Required packages
\usepackage{etoolbox} 
\usepackage{amsmath}
\usepackage{amssymb}

% Commands you provided go here
\input{pmed-tex-preamble}

\begin{document}

% Now we test each command
The covariate space is $\covarspace$ or $\cspc$.
\begin{verbatim}
\covarspace or \cspc: represents the covariate space.
\end{verbatim}

The action space is $\armspace$ or $\aspc$.
\begin{verbatim}
\armspace or \aspc: represents the action space.
\end{verbatim}

The outcome space is $\outspace$ or $\ospc$ or $\yspc$.
\begin{verbatim}
\outspace or \ospc or \yspc: represents the outcome space.
\end{verbatim}

The history space is $\histspace$ or $\hspc$.
\begin{verbatim}
\histspace or \hspc: represents the history space.
\end{verbatim}

The covariate distribution is $\covardist$.
\begin{verbatim}
\covardist: represents the covariate distribution.
\end{verbatim}

The covariate matrix is $\covarmat$.
\begin{verbatim}
\covarmat: represents the covariate matrix.
\end{verbatim}

The observed variable is $\obs$.
\begin{verbatim}
\obs: represents the observed variable.
\end{verbatim}

The history is $\hist$.
\begin{verbatim}
\hist: represents the history.
\end{verbatim}

The response is $\resp$.
\begin{verbatim}
\resp: represents the response.
\end{verbatim}

The history up to time $t$ is $\histt$.
\begin{verbatim}
\histt: represents the history up to time t.
\end{verbatim}

The history up to $n$ observations is $\histn$.
\begin{verbatim}
\histn: represents the history up to n observations.
\end{verbatim}

The generic policy is $\pol$.
\begin{verbatim}
\pol: represents the generic policy.
\end{verbatim}

The optimal policy is $\optpol$.
\begin{verbatim}
\optpol: represents the optimal policy.
\end{verbatim}

The parameter vector for a generic arm is $\armparam$.
\begin{verbatim}
\armparam: represents the parameter vector for a generic arm.
\end{verbatim}

The estimated policy is $\polhat$.
\begin{verbatim}
\polhat: represents the estimated policy.
\end{verbatim}

The estimated arm parameter vector is $\armhat$.
\begin{verbatim}
\armhat: represents the estimated arm parameter vector.
\end{verbatim}

The estimated policy based on a sample size of $n$ is $\polhatn$.
\begin{verbatim}
\polhatn: represents the estimated policy based on a sample size of n.
\end{verbatim}

The parameter vector for arm $k$ is $\armparamk$.
\begin{verbatim}
\armparamk: represents the parameter vector for arm k.
\end{verbatim}

The value function is $\val$.
\begin{verbatim}
\val: represents the value function.
\end{verbatim}

The Bayes regret is $\BR$.
\begin{verbatim}
\BR: represents the Bayes regret.
\end{verbatim}

The regret is $\R$ or $\Reg$.
\begin{verbatim}
\R or \Reg: represents the regret.
\end{verbatim}

The population regret is $\Regpop$.
\begin{verbatim}
\Regpop: represents the population regret.
\end{verbatim}

The estimated regret is $\reghat$.
\begin{verbatim}
\reghat: represents the estimated regret.
\end{verbatim}

The estimated value function is $\valhat$.
\begin{verbatim}
\valhat: represents the estimated value function.
\end{verbatim}

The estimated value function based on a sample size of $n$ is $\valhatn$.
\begin{verbatim}
\valhatn: represents the estimated value function based on a sample size of n.
\end{verbatim}

The indicator function is $\indfun$.
\begin{verbatim}
\indfun: represents the indicator function.
\end{verbatim}

The sign function is $\sign$.
\begin{verbatim}
\sign: represents the sign function.
\end{verbatim}

The probability is $\prob$.
\begin{verbatim}
\prob: represents the probability.
\end{verbatim}

The expectation is $\expt$ or $\E$.
\begin{verbatim}
\expt or \E: represents the expectation.
\end{verbatim}

The diagonal is $\diag$.
\begin{verbatim}
\diag: represents the diagonal of a matrix.
\end{verbatim}

The block diagonal is $\blkdiag$.
\begin{verbatim}
\blkdiag: represents the block diagonal of a matrix.
\end{verbatim}

The KL-divergence is $\KL$.
\begin{verbatim}
\KL: represents the KL-divergence.
\end{verbatim}

The asymptotic variance is $\avar$.
\begin{verbatim}
\avar: represents the asymptotic variance.
\end{verbatim}

The vec operator is $\vect$.
\begin{verbatim}
\vect: represents the vec operator.
\end{verbatim}

The argmax is $\argmax$.
\begin{verbatim}
\argmax: represents the argmax function.
\end{verbatim}

The argmin is $\argmin$.
\begin{verbatim}
\argmin: represents the argmin function.
\end{verbatim}

The variance is $\var$.
\begin{verbatim}
\var: represents the variance.
\end{verbatim}

The covariance is $\cov$.
\begin{verbatim}
\cov: represents the covariance.
\end{verbatim}

The mean squared error is $\mse$.
\begin{verbatim}
\mse: represents the mean squared error.
\end{verbatim}

The norm of a vector is $\norm{v}$.
\begin{verbatim}
\norm{v}: represents the norm of a vector v.
\end{verbatim}

And finally, the boldsymbol command can be used as follows: $\bs{a}$
\begin{verbatim}
\bs{a}: makes the letter a bold.
\end{verbatim}

\end{document}