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[261]1\hypertarget{classbdm_1_1mprod}{
2\section{bdm::mprod Class Reference}
3\label{classbdm_1_1mprod}\index{bdm::mprod@{bdm::mprod}}
4}
5Chain rule decomposition of \hyperlink{classbdm_1_1epdf}{epdf}
6
7
8{\tt \#include $<$emix.h$>$}
9
10Inheritance diagram for bdm::mprod:\nopagebreak
11\begin{figure}[H]
12\begin{center}
13\leavevmode
14\includegraphics[width=123pt]{classbdm_1_1mprod__inherit__graph}
15\end{center}
16\end{figure}
17Collaboration diagram for bdm::mprod:\nopagebreak
18\begin{figure}[H]
19\begin{center}
20\leavevmode
21\includegraphics[width=150pt]{classbdm_1_1mprod__coll__graph}
22\end{center}
23\end{figure}
24\subsection*{Public Member Functions}
25\begin{CompactItemize}
26\item 
27\hypertarget{classbdm_1_1mprod_680c3e2d95b116c7cfb227c7f2984525}{
28\hyperlink{classbdm_1_1mprod_680c3e2d95b116c7cfb227c7f2984525}{mprod} (Array$<$ \hyperlink{classbdm_1_1mpdf}{mpdf} $\ast$ $>$ mFacs)}
29\label{classbdm_1_1mprod_680c3e2d95b116c7cfb227c7f2984525}
30
31\begin{CompactList}\small\item\em Constructor from list of mFacs,. \item\end{CompactList}\item 
32\hypertarget{classbdm_1_1mprod_800f21d94c919137608a2fd5c88719e2}{
33double \hyperlink{classbdm_1_1mprod_800f21d94c919137608a2fd5c88719e2}{evallogcond} (const vec \&val, const vec \&cond)}
34\label{classbdm_1_1mprod_800f21d94c919137608a2fd5c88719e2}
35
36\begin{CompactList}\small\item\em Shortcut for conditioning and evaluation of the internal \hyperlink{classbdm_1_1epdf}{epdf}. In some cases, this operation can be implemented efficiently. \item\end{CompactList}\item 
37vec \hyperlink{classbdm_1_1mprod_1a37c2aaba8bde7fce5351c39b6e1168}{samplecond} (const vec \&cond, double \&ll)
38\begin{CompactList}\small\item\em Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item\end{CompactList}\item 
39\hypertarget{classbdm_1_1mprod_b493b5565dc6a5617927421d32697cc6}{
40mat \textbf{samplecond} (const vec \&cond, vec \&ll, int N)}
41\label{classbdm_1_1mprod_b493b5565dc6a5617927421d32697cc6}
42
43\item 
44\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1compositepdf_c73d39acc4378eee6a63155c3517d3c9}{getrv} (bool checkoverlap=false)
45\begin{CompactList}\small\item\em find common rv, flag \item\end{CompactList}\item 
46\hypertarget{classbdm_1_1compositepdf_c71fc2c51f49d797e61f479f543c75ce}{
47void \hyperlink{classbdm_1_1compositepdf_c71fc2c51f49d797e61f479f543c75ce}{setrvc} (const \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1mpdf_9bcfb45435d30983f436d41c298cbb51}{rv}, \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}{rvc})}
48\label{classbdm_1_1compositepdf_c71fc2c51f49d797e61f479f543c75ce}
49
50\begin{CompactList}\small\item\em common rvc of all mpdfs is written to rvc \item\end{CompactList}\item 
51virtual mat \hyperlink{classbdm_1_1mpdf_ee26963a637b2ea1fb1933652981e652}{samplecond\_\-m} (const vec \&cond, vec \&ll, int N)
52\begin{CompactList}\small\item\em Returns. \item\end{CompactList}\item 
53\hypertarget{classbdm_1_1mpdf_db94784a9aacf74c65c5a014f6743530}{
54virtual void \hyperlink{classbdm_1_1mpdf_db94784a9aacf74c65c5a014f6743530}{condition} (const vec \&cond)}
55\label{classbdm_1_1mpdf_db94784a9aacf74c65c5a014f6743530}
56
57\begin{CompactList}\small\item\em Update {\tt ep} so that it represents this \hyperlink{classbdm_1_1mpdf}{mpdf} conditioned on {\tt rvc} = cond. \item\end{CompactList}\item 
58\hypertarget{classbdm_1_1mpdf_0b0ed1ed663071bb7cf4a1349eb94fcb}{
59virtual vec \hyperlink{classbdm_1_1mpdf_0b0ed1ed663071bb7cf4a1349eb94fcb}{evallogcond\_\-m} (const mat \&Dt, const vec \&cond)}
60\label{classbdm_1_1mpdf_0b0ed1ed663071bb7cf4a1349eb94fcb}
61
62\begin{CompactList}\small\item\em Matrix version of evallogcond. \item\end{CompactList}\item 
63\hypertarget{classbdm_1_1mpdf_b3aba7311038bf990d706a64cab60cf8}{
64\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1mpdf_b3aba7311038bf990d706a64cab60cf8}{\_\-rvc} () const }
65\label{classbdm_1_1mpdf_b3aba7311038bf990d706a64cab60cf8}
66
67\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
68\hypertarget{classbdm_1_1mpdf_222d5280e309c5a053ba73841e98c151}{
69\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1mpdf_222d5280e309c5a053ba73841e98c151}{\_\-rv} () const }
70\label{classbdm_1_1mpdf_222d5280e309c5a053ba73841e98c151}
71
72\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
73\hypertarget{classbdm_1_1mpdf_1892fe3933488942253679f068e9e7f6}{
74\hyperlink{classbdm_1_1epdf}{epdf} \& \hyperlink{classbdm_1_1mpdf_1892fe3933488942253679f068e9e7f6}{\_\-epdf} ()}
75\label{classbdm_1_1mpdf_1892fe3933488942253679f068e9e7f6}
76
77\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
78\hypertarget{classbdm_1_1mpdf_05e843fd11c410a99dad2b88c55aca80}{
79\hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1mpdf_05e843fd11c410a99dad2b88c55aca80}{\_\-e} ()}
80\label{classbdm_1_1mpdf_05e843fd11c410a99dad2b88c55aca80}
81
82\begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize}
83\subsection*{Protected Attributes}
84\begin{CompactItemize}
85\item 
86\hypertarget{classbdm_1_1mprod_eca722ed1b219727c6c0f8cbc6bf1e51}{
87Array$<$ \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ $>$ \hyperlink{classbdm_1_1mprod_eca722ed1b219727c6c0f8cbc6bf1e51}{epdfs}}
88\label{classbdm_1_1mprod_eca722ed1b219727c6c0f8cbc6bf1e51}
89
90\begin{CompactList}\small\item\em pointers to epdfs - shortcut to \hyperlink{classbdm_1_1compositepdf_23faf2debc4dde10836393b8c665914a}{mpdfs()}.\hyperlink{classbdm_1_1mpdf_1892fe3933488942253679f068e9e7f6}{\_\-epdf()} \item\end{CompactList}\item 
91\hypertarget{classbdm_1_1mprod_acf679b3b1d48629c5a042d9ac0d973f}{
92Array$<$ \hyperlink{classbdm_1_1datalink__m2m}{datalink\_\-m2m} $\ast$ $>$ \hyperlink{classbdm_1_1mprod_acf679b3b1d48629c5a042d9ac0d973f}{dls}}
93\label{classbdm_1_1mprod_acf679b3b1d48629c5a042d9ac0d973f}
94
95\begin{CompactList}\small\item\em Data link for each mpdfs. \item\end{CompactList}\item 
96\hypertarget{classbdm_1_1compositepdf_7ca3cd8ed92a7154f5b9ff13b1e9d52a}{
97int \hyperlink{classbdm_1_1compositepdf_7ca3cd8ed92a7154f5b9ff13b1e9d52a}{n}}
98\label{classbdm_1_1compositepdf_7ca3cd8ed92a7154f5b9ff13b1e9d52a}
99
100\begin{CompactList}\small\item\em Number of mpdfs in the composite. \item\end{CompactList}\item 
101\hypertarget{classbdm_1_1compositepdf_23faf2debc4dde10836393b8c665914a}{
102Array$<$ \hyperlink{classbdm_1_1mpdf}{mpdf} $\ast$ $>$ \hyperlink{classbdm_1_1compositepdf_23faf2debc4dde10836393b8c665914a}{mpdfs}}
103\label{classbdm_1_1compositepdf_23faf2debc4dde10836393b8c665914a}
104
105\begin{CompactList}\small\item\em Elements of composition. \item\end{CompactList}\item 
106\hypertarget{classbdm_1_1mpdf_9bcfb45435d30983f436d41c298cbb51}{
107\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1mpdf_9bcfb45435d30983f436d41c298cbb51}{rv}}
108\label{classbdm_1_1mpdf_9bcfb45435d30983f436d41c298cbb51}
109
110\begin{CompactList}\small\item\em modeled random variable \item\end{CompactList}\item 
111\hypertarget{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}{
112\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}{rvc}}
113\label{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}
114
115\begin{CompactList}\small\item\em random variable in condition \item\end{CompactList}\item 
116\hypertarget{classbdm_1_1mpdf_5eea43c56d38e4441bfb30270db949c0}{
117\hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1mpdf_5eea43c56d38e4441bfb30270db949c0}{ep}}
118\label{classbdm_1_1mpdf_5eea43c56d38e4441bfb30270db949c0}
119
120\begin{CompactList}\small\item\em pointer to internal \hyperlink{classbdm_1_1epdf}{epdf} \item\end{CompactList}\end{CompactItemize}
121
122
123\subsection{Detailed Description}
124Chain rule decomposition of \hyperlink{classbdm_1_1epdf}{epdf}.
125
126Probability density in the form of Chain-rule decomposition: $\backslash$\mbox{[} f(x\_\-1,x\_\-2,x\_\-3) = f(x\_\-1$|$x\_\-2,x\_\-3)f(x\_\-2,x\_\-3)f(x\_\-3) $\backslash$\mbox{]} Note that
127
128\subsection{Member Function Documentation}
129\hypertarget{classbdm_1_1mprod_1a37c2aaba8bde7fce5351c39b6e1168}{
130\index{bdm::mprod@{bdm::mprod}!samplecond@{samplecond}}
131\index{samplecond@{samplecond}!bdm::mprod@{bdm::mprod}}
132\subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}vec bdm::mprod::samplecond (const vec \& {\em cond}, \/  double \& {\em ll})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual\mbox{]}}}}
133\label{classbdm_1_1mprod_1a37c2aaba8bde7fce5351c39b6e1168}
134
135
136Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$.
137
138\begin{Desc}
139\item[Parameters:]
140\begin{description}
141\item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description}
142\end{Desc}
143
144
145Reimplemented from \hyperlink{classbdm_1_1mpdf_e4848a428d8ef0549c6e4a9ed386d9f2}{bdm::mpdf}.
146
147References bdm::RV::count(), dls, epdfs, bdm::compositepdf::mpdfs, bdm::compositepdf::n, and bdm::mpdf::rv.\hypertarget{classbdm_1_1compositepdf_c73d39acc4378eee6a63155c3517d3c9}{
148\index{bdm::mprod@{bdm::mprod}!getrv@{getrv}}
149\index{getrv@{getrv}!bdm::mprod@{bdm::mprod}}
150\subsubsection[getrv]{\setlength{\rightskip}{0pt plus 5cm}{\bf RV} bdm::compositepdf::getrv (bool {\em checkoverlap} = {\tt false})\hspace{0.3cm}{\tt  \mbox{[}inherited\mbox{]}}}}
151\label{classbdm_1_1compositepdf_c73d39acc4378eee6a63155c3517d3c9}
152
153
154find common rv, flag
155
156\begin{Desc}
157\item[Parameters:]
158\begin{description}
159\item[{\em checkoverlap}]modifies whether overlaps are acceptable \end{description}
160\end{Desc}
161
162
163References bdm::RV::add(), bdm::compositepdf::mpdfs, and bdm::compositepdf::n.\hypertarget{classbdm_1_1mpdf_ee26963a637b2ea1fb1933652981e652}{
164\index{bdm::mprod@{bdm::mprod}!samplecond\_\-m@{samplecond\_\-m}}
165\index{samplecond\_\-m@{samplecond\_\-m}!bdm::mprod@{bdm::mprod}}
166\subsubsection[samplecond\_\-m]{\setlength{\rightskip}{0pt plus 5cm}virtual mat bdm::mpdf::samplecond\_\-m (const vec \& {\em cond}, \/  vec \& {\em ll}, \/  int {\em N})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
167\label{classbdm_1_1mpdf_ee26963a637b2ea1fb1933652981e652}
168
169
170Returns.
171
172\begin{Desc}
173\item[Parameters:]
174\begin{description}
175\item[{\em N}]samples from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description}
176\end{Desc}
177
178
179References bdm::mpdf::condition(), bdm::RV::count(), bdm::mpdf::ep, bdm::epdf::evallog(), bdm::mpdf::rv, and bdm::epdf::sample().
180
181The documentation for this class was generated from the following file:\begin{CompactItemize}
182\item 
183\hyperlink{emix_8h}{emix.h}\end{CompactItemize}
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