Generate and return the Probability Density Function (PDF) of the Beta distribution for an input x
within the support of the distribution \(x \in [0,1]\).
More...
Generate and return the Probability Density Function (PDF) of the Beta distribution for an input x
within the support of the distribution \(x \in [0,1]\).
See the documentation of pm_distBeta for more information on the Beta distribution.
Contrary to the higher-performance procedure interfaces getBetaLogPDF and setBetaLogPDF that only accept \(x \in (0,1)\), the procedures under this generic interface also accept the boundary values of the support: \(x = 0\), and \(x = 1\).
This interface therefore has two primary use cases:
-
When the PDF of the Beta distribution (as opposed to the natural logarithm of PDF) is needed.
-
When the coverage of the full closed interval \([0,1]\) for \(x\) is desired.
Note, however, the output of the procedures of this generic interface are prone to overflow at \((x \sim 0, \alpha < 1)\) or \((x \sim 1, \beta < 1)\).
The occurrence of the overflow depends on the specified values for \((x, \alpha, \beta)\) and the requested real
precision (kind) for the output PDF value.
- Parameters
-
[in] | x | : The input scalar or array of the same shape as other array like arguments, of type real of kind any supported by the processor (e.g., RK, RK32, RK64, or RK128), containing the values at which the PDF must be computed.
|
[in] | alpha | : The input scalar or array of the same shape as other array-like arguments, of the same type and kind as x , containing the first shape parameter of the distribution.
|
[in] | beta | : The input scalar or array of the same shape as other array-like arguments, of the same type and kind as x , containing the second shape parameter of the distribution.
|
- Returns
pdf
: The output scalar or array of the same shape as any input array-like argument, of the same type and kind as the input argument x
, containing the PDF of the distribution.
Possible calling interfaces ⛓
Generate and return the Probability Density Function (PDF) of the Beta distribution for an input x wi...
This module contains classes and procedures for computing various statistical quantities related to t...
- Warning
- The condition \(x \in (0,1)\), \(\alpha \geq 0\), and \(\beta \geq 0\) must hold for the triple input values
(x, alpha, beta)
.
These conditions are verified only if the library is built with the preprocessor macro CHECK_ENABLED=1
.
-
The procedures of this generic interface are prone to overflow at extreme values of
x, alpha, beta
.
Use getBetaLogPDF or setBetaLogPDF which more tolerant of extreme input values.
-
The
pure
procedure(s) documented herein become impure
when the ParaMonte library is compiled with preprocessor macro CHECK_ENABLED=1
.
By default, these procedures are pure
in release
build and impure
in debug
and testing
builds.
- See also
- getBetaLogPDF
setBetaLogPDF
Example usage ⛓
12 integer(IK),
parameter :: NP
= 999_IK
13 real :: Point(NP), PDF(NP)
15 type(display_type) :: disp
21 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
22 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
23 call disp%show(
"! Compute the Probability Density Function (PDF) of the Beta distribution.")
24 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
25 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
31 call disp%show(
"PDF(1) = getBetaPDF(Point(1), 2., 2.)")
38 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
39 call disp%show(
"! Accelerate the runtime performance for repeated calls when `alpha` and `beta` are fixed (i.e., the PDF normalization constant is fixed).")
40 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
44 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
45 call disp%show(
"! A vector of PDF at different points with the same PDF parameters.")
46 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
52 call disp%show(
"PDF(1:NP:NP/4) = getBetaPDF(Point(1:NP:NP/4), alpha = 0.5, beta = 5.)")
53 PDF(
1:NP:NP
/4)
= getBetaPDF(Point(
1:NP:NP
/4), alpha
= 0.5, beta
= 5.)
59 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
60 call disp%show(
"! A vector of PDF at the same point but with different PDF parameters.")
61 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
67 call disp%show(
"PDF(1:NP:NP/4) = getBetaPDF(Point(NP/4), alpha = getLinSpace(0.5, 5., 5), beta = getLinSpace(5., .5, 5))")
74 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
75 call disp%show(
"! A vector of PDF at different points with different PDF parameters.")
76 call disp%show(
"!%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
82 call disp%show(
"PDF(1:NP:NP/4) = getBetaPDF(Point(1:NP:NP/4), alpha = getLinSpace(0.5, 5., 5), beta = getLinSpace(5., .5, 5))")
93 integer(IK) :: fileUnit, i
94 open(newunit
= fileUnit, file
= "getBetaPDF.RK.txt")
95 write(fileUnit,
"(5(g0,:,' '))") ( Point(i)
&
96 ,
getBetaPDF(Point(i), alpha
= 0.5, beta
= 0.5)
&
97 ,
getBetaPDF(Point(i), alpha
= 2.0, beta
= 2.0)
&
98 ,
getBetaPDF(Point(i), alpha
= 2.0, beta
= 5.0)
&
99 ,
getBetaPDF(Point(i), alpha
= 5.0, beta
= 2.0)
&
Generate count evenly spaced points over the interval [x1, x2] if x1 < x2, or [x2,...
Return the linSpace output argument with size(linSpace) elements of evenly-spaced values over the int...
This is a generic method of the derived type display_type with pass attribute.
This is a generic method of the derived type display_type with pass attribute.
Generate and return the natural logarithm of the Beta Function as defined in the details section of ...
This module contains procedures and generic interfaces for generating arrays with linear or logarithm...
This module contains classes and procedures for input/output (IO) or generic display operations on st...
type(display_type) disp
This is a scalar module variable an object of type display_type for general display.
This module defines the relevant Fortran kind type-parameters frequently used in the ParaMonte librar...
integer, parameter IK
The default integer kind in the ParaMonte library: int32 in Fortran, c_int32_t in C-Fortran Interoper...
integer, parameter SK
The default character kind in the ParaMonte library: kind("a") in Fortran, c_char in C-Fortran Intero...
This module contains classes and procedures for computing the mathematical Beta Function and its inve...
Generate and return an object of type display_type.
Example Unix compile command via Intel ifort
compiler ⛓
3ifort -fpp -standard-semantics -O3 -Wl,-rpath,../../../lib -I../../../inc main.F90 ../../../lib/libparamonte* -o main.exe
Example Windows Batch compile command via Intel ifort
compiler ⛓
2set PATH=..\..\..\lib;%PATH%
3ifort /fpp /standard-semantics /O3 /I:..\..\..\include main.F90 ..\..\..\lib\libparamonte*.lib /exe:main.exe
Example Unix / MinGW compile command via GNU gfortran
compiler ⛓
3gfortran -cpp -ffree-line-length-none -O3 -Wl,-rpath,../../../lib -I../../../inc main.F90 ../../../lib/libparamonte* -o main.exe
Example output ⛓
27+0.100000005E-2,
+0.250000000,
+0.499000013,
+0.748000026,
+0.997000039
28PDF(
1:NP:NP
/4)
= getBetaPDF(Point(
1:NP:NP
/4), alpha
= 0.5, beta
= 5.)
30+38.7554321,
+0.778655887,
+0.109741561,
+0.573748583E-2,
+0.998127483E-10
42+0.784387290,
+2.09134030,
+1.07599258,
+0.174454987,
+0.545818219E-2
51+0.100000005E-2,
+0.250000000,
+0.499000013,
+0.748000026,
+0.997000039
54+38.7554321,
+2.08856964,
+1.78847313,
+2.08294487,
+22.1969547
Postprocessing of the example output ⛓
3import matplotlib.pyplot
as plt
16xlab = {
"CK" :
"X ( real/imaginary components )"
17 ,
"IK" :
"X ( integer-valued )"
18 ,
"RK" :
"X ( real-valued )"
20legends = [
r"$\alpha = 0.5,~\beta = 0.5$"
21 ,
r"$\alpha = 2.0,~\beta = 2.0$"
22 ,
r"$\alpha = 2.0,~\beta = 5.0$"
23 ,
r"$\alpha = 5.0,~\beta = 2.0$"
26for kind
in [
"IK",
"CK",
"RK"]:
28 pattern =
"*." + kind +
".txt"
29 fileList = glob.glob(pattern)
30 if len(fileList) == 1:
32 df = pd.read_csv(fileList[0], delimiter =
" ")
34 fig = plt.figure(figsize = 1.25 * np.array([6.4, 4.8]), dpi = 200)
38 plt.plot( df.values[:, 0]
41 , linewidth = linewidth
44 plt.plot( df.values[:, 1]
47 , linewidth = linewidth
51 plt.plot( df.values[:, 0]
54 , linewidth = linewidth
61 plt.xticks(fontsize = fontsize - 2)
62 plt.yticks(fontsize = fontsize - 2)
63 ax.set_xlabel(xlab[kind], fontsize = 17)
64 ax.set_ylabel(
"Probability Density Function (PDF)", fontsize = 17)
66 plt.grid(visible =
True, which =
"both", axis =
"both", color =
"0.85", linestyle =
"-")
67 ax.tick_params(axis =
"y", which =
"minor")
68 ax.tick_params(axis =
"x", which =
"minor")
71 plt.savefig(fileList[0].replace(
".txt",
".png"))
73 elif len(fileList) > 1:
75 sys.exit(
"Ambiguous file list exists.")
Visualization of the example output ⛓
- Test:
- test_pm_distBeta
- Todo:
- Normal Priority: This generic interface can be extended to
complex
arguments.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
-
If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
-
If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
- Copyright
- Computational Data Science Lab
- Author:
- Amir Shahmoradi, Oct 16, 2009, 11:14 AM, Michigan
Definition at line 227 of file pm_distBeta.F90.