bold math

[Jeff Pitblado (StataCorp)]

Playing with bold in math expressions:

Here is the code

\[
M \ne \mathbf{M}
\]

Here is the result
\[
M \ne \mathbf{M}
\]

[eric_a_booth]

\[ \frac{2}{3}+ \mathbf{\pi} \]
\[ M \ne \mathbf{M} \]

[Stefano Grillini]

Just trying...

\[
\frac{2}{3}
\]

\[
M \ne \mathbf{M}
\]

\[
M \ne \mathbf{M}
\]

[Suresh Paul]

Just trying ...
\[
y = \alpha + X + \epsilon
\]

[Matthew J. Baker]

\[
f(x)
\]

[Yannick Schenk]

\[ \frac{2}{3}+ \mathbf{\pi} \]

[Elizabeth Meyers]

Just using this here as a sandbox:
\[
Y_{hjdt} = \lambda_h+\delta_M MM_{hjdt} +\delta_S S_{hjdt} +\delta_S_M (S_{hjdt} \times MM_{hjdt}) +\delta_X X_{hjdt} +\delta_S S_{hdt} + \delta_C C_{jdt} + \gamma_{dt} +\epsilon_{hjdt}
\]

[Elizabeth Meyers]

Okay, that does not seem to work.

[John Gallup]

Is this showing up? \(y_{it} = \mu_i + \theta y_{i,t-1} + \varepsilon_{it}\)

[John Gallup]

How about this? \[y_{it} = \mu_i + \theta y_{i,t-1} + \varepsilon_{it}\]

[Tom Ford]

\[
z=\frac{1+2}{SE+SE}
\]

[Duccio Milani]

\[ \min\limits_{b}\sum_{n=1}^{n}\{vote_i-b_0-b_1^{T}win_i+b_2^{T}margin_i+b_3^{T}win_i\cdot margin_i+b_4^{T}class_i\}^{2}\textbf{K} \]

[Owen Wallbanks]

Just trying...

\[
married_{ijk} = \alpha+\beta_1 sibsize_{jk}+\beta_2 \textbf{z}_{jk}+\beta_3 \textbf{x}_{ijk}+e_k+c_{jk}+\epsilon_{ijk}
\]

\[
married_{ijk} = \alpha+\beta_1 sibsize_{jk}+\beta_2 \textbf{z}_{jk}+\beta_3 \textbf{x}_{ijk}+e_k+c_{jk}+\epsilon_{ijk}
\]

\[
\Delta married_{ijk} = \beta_1 \Delta sibsize_{jk}+\beta_2 \Delta \textbf{z}_{jk}+\beta_3 \Delta \textbf{x}_{ijk}+c_{jk}+\Delta \epsilon_{ijk}
\]

\[
\Delta married_{ijk} = \beta_1 \Delta sibsize_{jk}+\beta_2 \Delta \textbf{z}_{jk}+\beta_3 \Delta \textbf{x}_{ijk}+c_{jk}+\Delta \epsilon_{ijk}
\]

[Leon Faerber]

\[
\Delta lncaputil_t = u_t + \beta_t intv_t
\\
u_t = \alpha u_{t-1} + \epsilon_t
\\
\beta_t = \beta_{t-1} + v_t
\]

[Sam Rickman]

It doesn't work in Preview so I am posting to see if it works \[ M \ne \mathbf{M} \]

\[ \frac{2}{3}+ \mathbf{\pi} \]
\[ M \ne \mathbf{M} \]

\[ y_{ij} = \beta_{0j} + \beta_{1j} mo1 + \beta_{2j} mo2 + e_ij \\
\beta_{0j} = \beta_0 + u_{0j} \\
\beta_{1j} = \beta_1 + u_{1j} \\
\beta_{2j} = \beta_1 + u_{2j} \]