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1\hypertarget{classbdm_1_1migamma__fix}{
2\section{bdm::migamma\_\-fix Class Reference}
3\label{classbdm_1_1migamma__fix}\index{bdm::migamma\_\-fix@{bdm::migamma\_\-fix}}
4}
5{\tt \#include $<$libEF.h$>$}
6
7Inheritance diagram for bdm::migamma\_\-fix::\begin{figure}[H]
8\begin{center}
9\leavevmode
10\includegraphics[height=5cm]{classbdm_1_1migamma__fix}
11\end{center}
12\end{figure}
13
14
15\subsection{Detailed Description}
16Inverse-Gamma random walk around a fixed point.
17
18Mean value, $\mu$, of this density is given by a geometric combination of {\tt rvc} and given fixed point, $p$. $l$ is the coefficient of the geometric combimation \[ \mu = \mu_{t-1} ^{l} p^{1-l}\]
19
20==== Check == vv = Standard deviation of the random walk is proportional to one $k$-th the mean. This is achieved by setting $\alpha=k$ and $\beta=k/\mu$.
21
22The standard deviation of the walk is then: $\mu/\sqrt(k)$. \subsection*{Public Member Functions}
23\begin{CompactItemize}
24\item 
25\hypertarget{classbdm_1_1migamma__fix_42a61f9468b2c435386f47ae8a5ddf7e}{
26\hyperlink{classbdm_1_1migamma__fix_42a61f9468b2c435386f47ae8a5ddf7e}{migamma\_\-fix} ()}
27\label{classbdm_1_1migamma__fix_42a61f9468b2c435386f47ae8a5ddf7e}
28
29\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item 
30\hypertarget{classbdm_1_1migamma__fix_17f9ce1068660a4e8c05173bef7d7440}{
31void \hyperlink{classbdm_1_1migamma__fix_17f9ce1068660a4e8c05173bef7d7440}{set\_\-parameters} (double k0, vec ref0, double l0)}
32\label{classbdm_1_1migamma__fix_17f9ce1068660a4e8c05173bef7d7440}
33
34\begin{CompactList}\small\item\em Set value of {\tt k}. \item\end{CompactList}\item 
35\hypertarget{classbdm_1_1migamma__fix_cfbabd293795d44aae1b7c874e57c4b8}{
36void \hyperlink{classbdm_1_1migamma__fix_cfbabd293795d44aae1b7c874e57c4b8}{condition} (const vec \&val)}
37\label{classbdm_1_1migamma__fix_cfbabd293795d44aae1b7c874e57c4b8}
38
39\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 
40\hypertarget{classbdm_1_1migamma_8b10ab922e2a7bae2fb6bb3efc7b6151}{
41void \hyperlink{classbdm_1_1migamma_8b10ab922e2a7bae2fb6bb3efc7b6151}{set\_\-parameters} (int len, double k0)}
42\label{classbdm_1_1migamma_8b10ab922e2a7bae2fb6bb3efc7b6151}
43
44\begin{CompactList}\small\item\em Set value of {\tt k}. \item\end{CompactList}\end{CompactItemize}
45\begin{Indent}{\bf Matematical operations}\par
46\begin{CompactItemize}
47\item 
48virtual vec \hyperlink{classbdm_1_1mpdf_f0c1db6fcbb3aae2dd6123884457a367}{samplecond} (const vec \&cond)
49\begin{CompactList}\small\item\em Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item\end{CompactList}\item 
50virtual mat \hyperlink{classbdm_1_1mpdf_afe4185b26baeb03688202e254d3b005}{samplecond\_\-m} (const vec \&cond, int N)
51\begin{CompactList}\small\item\em Returns. \item\end{CompactList}\item 
52\hypertarget{classbdm_1_1mpdf_6336a8a72462e2a56a3989a220f18b1b}{
53virtual double \hyperlink{classbdm_1_1mpdf_6336a8a72462e2a56a3989a220f18b1b}{evallogcond} (const vec \&dt, const vec \&cond)}
54\label{classbdm_1_1mpdf_6336a8a72462e2a56a3989a220f18b1b}
55
56\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 
57\hypertarget{classbdm_1_1mpdf_0b0ed1ed663071bb7cf4a1349eb94fcb}{
58virtual vec \hyperlink{classbdm_1_1mpdf_0b0ed1ed663071bb7cf4a1349eb94fcb}{evallogcond\_\-m} (const mat \&Dt, const vec \&cond)}
59\label{classbdm_1_1mpdf_0b0ed1ed663071bb7cf4a1349eb94fcb}
60
61\begin{CompactList}\small\item\em Matrix version of evallogcond. \item\end{CompactList}\end{CompactItemize}
62\end{Indent}
63\begin{Indent}{\bf Access to attributes}\par
64\begin{CompactItemize}
65\item 
66\hypertarget{classbdm_1_1mpdf_5571482d150fbcb72cc36f6694ce1a10}{
67\hyperlink{classbdm_1_1RV}{RV} \textbf{\_\-rv} ()}
68\label{classbdm_1_1mpdf_5571482d150fbcb72cc36f6694ce1a10}
69
70\item 
71\hypertarget{classbdm_1_1mpdf_26001264236846897bd11e4baad47245}{
72\hyperlink{classbdm_1_1RV}{RV} \textbf{\_\-rvc} ()}
73\label{classbdm_1_1mpdf_26001264236846897bd11e4baad47245}
74
75\item 
76\hypertarget{classbdm_1_1mpdf_1c2bae3e1e90874e72941863974ec0ed}{
77int \textbf{dimension} ()}
78\label{classbdm_1_1mpdf_1c2bae3e1e90874e72941863974ec0ed}
79
80\item 
81\hypertarget{classbdm_1_1mpdf_35e135910aed187b7290742f50e61bc8}{
82int \textbf{dimensionc} ()}
83\label{classbdm_1_1mpdf_35e135910aed187b7290742f50e61bc8}
84
85\item 
86\hypertarget{classbdm_1_1mpdf_1892fe3933488942253679f068e9e7f6}{
87\hyperlink{classbdm_1_1epdf}{epdf} \& \textbf{\_\-epdf} ()}
88\label{classbdm_1_1mpdf_1892fe3933488942253679f068e9e7f6}
89
90\item 
91\hypertarget{classbdm_1_1mpdf_05e843fd11c410a99dad2b88c55aca80}{
92\hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \textbf{\_\-e} ()}
93\label{classbdm_1_1mpdf_05e843fd11c410a99dad2b88c55aca80}
94
95\end{CompactItemize}
96\end{Indent}
97\begin{Indent}{\bf Connection to other objects}\par
98\begin{CompactItemize}
99\item 
100\hypertarget{classbdm_1_1mpdf_7631a5570e4ade1420065e8df78f4401}{
101void \textbf{set\_\-rvc} (const \hyperlink{classbdm_1_1RV}{RV} \&rvc0)}
102\label{classbdm_1_1mpdf_7631a5570e4ade1420065e8df78f4401}
103
104\item 
105\hypertarget{classbdm_1_1mpdf_18ac26bc2f96ae01ef4eb06178abbd75}{
106void \textbf{set\_\-rv} (const \hyperlink{classbdm_1_1RV}{RV} \&rv0)}
107\label{classbdm_1_1mpdf_18ac26bc2f96ae01ef4eb06178abbd75}
108
109\item 
110\hypertarget{classbdm_1_1mpdf_f8e3798150b42fd1f3e16ddbbe0e7045}{
111bool \textbf{isnamed} ()}
112\label{classbdm_1_1mpdf_f8e3798150b42fd1f3e16ddbbe0e7045}
113
114\end{CompactItemize}
115\end{Indent}
116\subsection*{Protected Attributes}
117\begin{CompactItemize}
118\item 
119\hypertarget{classbdm_1_1migamma__fix_e1c344accac36d7ccc3ffa502e8d2f4e}{
120double \hyperlink{classbdm_1_1migamma__fix_e1c344accac36d7ccc3ffa502e8d2f4e}{l}}
121\label{classbdm_1_1migamma__fix_e1c344accac36d7ccc3ffa502e8d2f4e}
122
123\begin{CompactList}\small\item\em parameter l \item\end{CompactList}\item 
124\hypertarget{classbdm_1_1migamma__fix_5d453e5a2bdfc9a16c8acb8842dc9780}{
125vec \hyperlink{classbdm_1_1migamma__fix_5d453e5a2bdfc9a16c8acb8842dc9780}{refl}}
126\label{classbdm_1_1migamma__fix_5d453e5a2bdfc9a16c8acb8842dc9780}
127
128\begin{CompactList}\small\item\em reference vector \item\end{CompactList}\item 
129\hypertarget{classbdm_1_1migamma_a31b39d4179551b593c9e0d7d756783a}{
130\hyperlink{classbdm_1_1eigamma}{eigamma} \hyperlink{classbdm_1_1migamma_a31b39d4179551b593c9e0d7d756783a}{epdf}}
131\label{classbdm_1_1migamma_a31b39d4179551b593c9e0d7d756783a}
132
133\begin{CompactList}\small\item\em Internal \hyperlink{classbdm_1_1epdf}{epdf} that arise by conditioning on {\tt rvc}. \item\end{CompactList}\item 
134\hypertarget{classbdm_1_1migamma_dc56bc9da542e0103ec16b9be8e5e38c}{
135double \hyperlink{classbdm_1_1migamma_dc56bc9da542e0103ec16b9be8e5e38c}{k}}
136\label{classbdm_1_1migamma_dc56bc9da542e0103ec16b9be8e5e38c}
137
138\begin{CompactList}\small\item\em Constant $k$. \item\end{CompactList}\item 
139\hypertarget{classbdm_1_1migamma_c9847093da59a9ba0ebb68d2c592f5dc}{
140vec \& \hyperlink{classbdm_1_1migamma_c9847093da59a9ba0ebb68d2c592f5dc}{\_\-alpha}}
141\label{classbdm_1_1migamma_c9847093da59a9ba0ebb68d2c592f5dc}
142
143\begin{CompactList}\small\item\em cache of epdf.alpha \item\end{CompactList}\item 
144\hypertarget{classbdm_1_1migamma_0d854c047001b5465cf1ba21f52904b5}{
145vec \& \hyperlink{classbdm_1_1migamma_0d854c047001b5465cf1ba21f52904b5}{\_\-beta}}
146\label{classbdm_1_1migamma_0d854c047001b5465cf1ba21f52904b5}
147
148\begin{CompactList}\small\item\em cache of epdf.beta \item\end{CompactList}\item 
149\hypertarget{classbdm_1_1mpdf_7c1900976ff13dbc09c9729b3bbff9e6}{
150int \hyperlink{classbdm_1_1mpdf_7c1900976ff13dbc09c9729b3bbff9e6}{dimc}}
151\label{classbdm_1_1mpdf_7c1900976ff13dbc09c9729b3bbff9e6}
152
153\begin{CompactList}\small\item\em dimension of the condition \item\end{CompactList}\item 
154\hypertarget{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}{
155\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}{rvc}}
156\label{classbdm_1_1mpdf_5a5f08950daa08b85b01ddf4e1c36288}
157
158\begin{CompactList}\small\item\em random variable in condition \item\end{CompactList}\item 
159\hypertarget{classbdm_1_1mpdf_5eea43c56d38e4441bfb30270db949c0}{
160\hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1mpdf_5eea43c56d38e4441bfb30270db949c0}{ep}}
161\label{classbdm_1_1mpdf_5eea43c56d38e4441bfb30270db949c0}
162
163\begin{CompactList}\small\item\em pointer to internal \hyperlink{classbdm_1_1epdf}{epdf} \item\end{CompactList}\end{CompactItemize}
164
165
166\subsection{Member Function Documentation}
167\hypertarget{classbdm_1_1mpdf_f0c1db6fcbb3aae2dd6123884457a367}{
168\index{bdm::migamma\_\-fix@{bdm::migamma\_\-fix}!samplecond@{samplecond}}
169\index{samplecond@{samplecond}!bdm::migamma_fix@{bdm::migamma\_\-fix}}
170\subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual vec bdm::mpdf::samplecond (const vec \& {\em cond})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
171\label{classbdm_1_1mpdf_f0c1db6fcbb3aae2dd6123884457a367}
172
173
174Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$.
175
176\begin{Desc}
177\item[Parameters:]
178\begin{description}
179\item[{\em cond}]is numeric value of {\tt rv} \end{description}
180\end{Desc}
181
182
183Reimplemented in \hyperlink{classbdm_1_1mprod_ee715a8013acf9892f6cb489db595555}{bdm::mprod}.
184
185References bdm::mpdf::condition(), bdm::mpdf::ep, and bdm::epdf::sample().
186
187Referenced by bdm::MPF$<$ BM\_\-T $>$::bayes(), bdm::PF::bayes(), and bdm::ArxDS::step().\hypertarget{classbdm_1_1mpdf_afe4185b26baeb03688202e254d3b005}{
188\index{bdm::migamma\_\-fix@{bdm::migamma\_\-fix}!samplecond\_\-m@{samplecond\_\-m}}
189\index{samplecond\_\-m@{samplecond\_\-m}!bdm::migamma_fix@{bdm::migamma\_\-fix}}
190\subsubsection[samplecond\_\-m]{\setlength{\rightskip}{0pt plus 5cm}virtual mat bdm::mpdf::samplecond\_\-m (const vec \& {\em cond}, \/  int {\em N})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
191\label{classbdm_1_1mpdf_afe4185b26baeb03688202e254d3b005}
192
193
194Returns.
195
196\begin{Desc}
197\item[Parameters:]
198\begin{description}
199\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}
200\end{Desc}
201
202
203References bdm::mpdf::condition(), bdm::epdf::dimension(), bdm::mpdf::ep, and bdm::epdf::sample().
204
205The documentation for this class was generated from the following file:\begin{CompactItemize}
206\item 
207\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize}
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