0

Hi I'm trying to prepare for my presentation, but I have a problem with my latex code.

I'm sure that I'm using "amsmath" package.

I tried to fix this, but still have a lot of errors.

\begin{frame}{ZIP regression models with covariates}
    \begin{itemize}
        \item Regression-type models can adjust for covariate effects and assess relationships between key predictors and the response
        \item Covariates enter ZIP regression model at both the Bernoulli zero-inflation and Poison count stages\\
        $\rar$ 2 sets of parameters corresponding to p and $\lambda$\\
        ~~~~~~~~ \(\begin{cases}
            \(\lambda\) : loglinear model \(\rar log(\frac{p}{1-p}) = \textbf{X_1\alpha} = \alpha_0 + \alpha_1X_{11} + \alpha_2X_{12} + \dots + \alpha_mX_{1m}\)\\
            p : logit model \(\rar log(\lambda) = \textbf{X_2\beta} = \beta_0 + \beta_1X_{21} + \beta_2X_{22} + \dots + \beta_lX_{2l}\)
            \end{cases}\)
       \vspace{0.2cm}
        \item \(\boldsymbol{X_1} = (1, X_{11}, X_{12}, \dots, X_{1m})\) : covariate vector included in the zero stage\\
       \(\boldsymbol{X_2} = (1, X_{21}, X_{22}, \dots, X_{2l})\) : covariate vector included in the Poisson stage
        \item \(\boldsymbol{\alpha} = (\alpha_0, \alpha_1, \dots, \alpha_m)^{T}, \boldsymbol{\beta} = (\beta_0, \beta_1, \dots, \beta_l)^{T}\)\\
      $\rar$ corresponding coefficient vectors
    \end{itemize}
\end{frame}

Is there something wrong?

Improve this question
2
  • 1
    The cases environment can not be used outpude of math mode. Commented Jul 13, 2020 at 12:27
  • \rar is an undefined code I guess ? Commented Jul 13, 2020 at 13:11

2 Answers 2

Reset to default
3 
    \usepackage{amsmath}
\begin{document}
\begin{frame}{Zip model}
\begin{itemize}
    \item Probability mass function of Y

    $$*Pr(Y = y\mid\lambda, p) = 
           \begin{cases} 
             p + (1 - p)e^{-\lambda}, & \text{if $y = 0$}\\
             (1 - p)\frac{e^{-\lambda}\lambda^{y}}{y!}, & \text{if $y > 0$}
           \end{cases} $$
    \item $$\begin{aligned}E(Y) =& (1 - p)\lambda \\
    *Var(Y) =& \lambda(1 - p)(1 + p\lambda)\end{aligned}$$
\end{itemize}
\end{frame}
\end{document}

You can replace $$...$$by $...$

enter image description here The second Text I think I found the problem

  \item $\boldsymbol{X_1} = (1, X_{11}, X_{12}, \dots, X_{1m})$ : covariate vector included in the zero stage\\
   $\boldsymbol{X_2} = (1, X_{21}, X_{22}, \dots, X_{2l})$: covariate vector included in the Poisson stage
    \item $\boldsymbol{\alpha} = (\alpha_0, \alpha_1, \dots, \alpha_m)^{T}, \boldsymbol{\beta} = (\beta_0, \beta_1, \dots, \beta_l)^{T}$\\

And :

$$\begin{cases}
       \lambda : \text{loglinear model}\   \log(\frac{p}{1-p}) = \textbf{$X_{1\alpha}$} = \alpha_0 + \alpha_{1X}_{11} + \alpha_{2X}_{12} + \dots + \alpha_{mX}_{1m} \\
        p : \text{logit model} \  \log(\lambda) = \textbf{$X_{2\beta}$} = \beta_0 + \beta_{1X}_{21} + \beta_{2X}_{22} + \dots + \beta_{lX}_{2l}
        \end{cases}$$

I didn't get the \item bcs I didn't use its package

Improve this answer
1
  • 1
    Hi, add always a \documentclass into your orignal code :-) Commented Jul 27, 2020 at 12:00
2

enter image description here

\documentclass{beamer}

\usepackage{amsmath}
\begin{document}
\begin{frame}{ZIP model}
\begin{itemize}
    \item Probability mass function of Y
    \(*Pr(Y = y\mid\lambda, p) = 
           \begin{cases} 
             p + (1 - p)e^{-\lambda}, & \text{if y = 0}\\
             (1 - p)\frac{e^{-\lambda}\lambda^{y}}{y!}, & \text{if y} > 0
           \end{cases} \)
    \item \(\begin{aligned}E(Y) =& (1 - p)\lambda \\
    *Var(Y) =& \lambda(1 - p)(1 + p\lambda)\end{aligned}\)
\end{itemize}
\end{frame}

\end{document}
Improve this answer
2
  • Thanks a lot! I'm sorry but I have one more problem :( Commented Jul 13, 2020 at 12:57
  • I tried to change other codes like yours, and still I get a lot of errors... Commented Jul 13, 2020 at 12:58

You must log in to answer this question.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.