Numerical approximation to Beta moment generating function












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$begingroup$


I have a Beta random variable $X sim text{Beta}(alpha, beta)$, and I'm interested in $mathbb{E}[e^{2X}]$.



The Beta distribution moment generating function is



$$f(t) = {displaystyle 1+sum_{k=1}^{infty }left(prod _{r=0}^{k-1}{frac {alpha +r}{alpha +beta +r}}right){frac {t^{k}}{k!}}} = {}_1F_1(alpha, alpha + beta; t)$$



So I need to compute $f(2)$. But I need to do that quickly for many pairs $(alpha, beta)$. What is an efficient method to compute this?










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$endgroup$












  • $begingroup$
    Do you have access to advanced mathematical software, such as Matlab, Mathematica, etc.? Or some open software, I'm sure a lot of them have the packages for computing hypergeometric functions
    $endgroup$
    – Yuriy S
    Jan 16 at 12:04












  • $begingroup$
    @YuriyS Well, no, that's the problem. I need to implement that is Stan, which I don't think has it inbuilt.
    $endgroup$
    – Todor Markov
    Jan 16 at 12:07










  • $begingroup$
    Ok, well, in general, evaluating hypergeometric functions is not a trivial task. First, you can obviously use the series definition. Another option is to find an integral representation and use some numerical quadrature. Yet another option is to find the ODE which the function obeys and solve it numerically. The choice depends on the range of the parameters and other things... Not sure about ${_1 F_1}$, you'll just have to hit the books so to speak (like NIST library of functions, or Abramowitz and Stegun for example)
    $endgroup$
    – Yuriy S
    Jan 16 at 12:13












  • $begingroup$
    If I remember correctly, Bessel function and also Laguerre polynomials are particular cases of this function, so there has to be plenty of sources available
    $endgroup$
    – Yuriy S
    Jan 16 at 12:14








  • 1




    $begingroup$
    just google it, you may take a look at people.maths.ox.ac.uk/porterm/papers/hypergeometric-final.pdf
    $endgroup$
    – BGM
    Jan 17 at 7:36
















0












$begingroup$


I have a Beta random variable $X sim text{Beta}(alpha, beta)$, and I'm interested in $mathbb{E}[e^{2X}]$.



The Beta distribution moment generating function is



$$f(t) = {displaystyle 1+sum_{k=1}^{infty }left(prod _{r=0}^{k-1}{frac {alpha +r}{alpha +beta +r}}right){frac {t^{k}}{k!}}} = {}_1F_1(alpha, alpha + beta; t)$$



So I need to compute $f(2)$. But I need to do that quickly for many pairs $(alpha, beta)$. What is an efficient method to compute this?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Do you have access to advanced mathematical software, such as Matlab, Mathematica, etc.? Or some open software, I'm sure a lot of them have the packages for computing hypergeometric functions
    $endgroup$
    – Yuriy S
    Jan 16 at 12:04












  • $begingroup$
    @YuriyS Well, no, that's the problem. I need to implement that is Stan, which I don't think has it inbuilt.
    $endgroup$
    – Todor Markov
    Jan 16 at 12:07










  • $begingroup$
    Ok, well, in general, evaluating hypergeometric functions is not a trivial task. First, you can obviously use the series definition. Another option is to find an integral representation and use some numerical quadrature. Yet another option is to find the ODE which the function obeys and solve it numerically. The choice depends on the range of the parameters and other things... Not sure about ${_1 F_1}$, you'll just have to hit the books so to speak (like NIST library of functions, or Abramowitz and Stegun for example)
    $endgroup$
    – Yuriy S
    Jan 16 at 12:13












  • $begingroup$
    If I remember correctly, Bessel function and also Laguerre polynomials are particular cases of this function, so there has to be plenty of sources available
    $endgroup$
    – Yuriy S
    Jan 16 at 12:14








  • 1




    $begingroup$
    just google it, you may take a look at people.maths.ox.ac.uk/porterm/papers/hypergeometric-final.pdf
    $endgroup$
    – BGM
    Jan 17 at 7:36














0












0








0





$begingroup$


I have a Beta random variable $X sim text{Beta}(alpha, beta)$, and I'm interested in $mathbb{E}[e^{2X}]$.



The Beta distribution moment generating function is



$$f(t) = {displaystyle 1+sum_{k=1}^{infty }left(prod _{r=0}^{k-1}{frac {alpha +r}{alpha +beta +r}}right){frac {t^{k}}{k!}}} = {}_1F_1(alpha, alpha + beta; t)$$



So I need to compute $f(2)$. But I need to do that quickly for many pairs $(alpha, beta)$. What is an efficient method to compute this?










share|cite|improve this question









$endgroup$




I have a Beta random variable $X sim text{Beta}(alpha, beta)$, and I'm interested in $mathbb{E}[e^{2X}]$.



The Beta distribution moment generating function is



$$f(t) = {displaystyle 1+sum_{k=1}^{infty }left(prod _{r=0}^{k-1}{frac {alpha +r}{alpha +beta +r}}right){frac {t^{k}}{k!}}} = {}_1F_1(alpha, alpha + beta; t)$$



So I need to compute $f(2)$. But I need to do that quickly for many pairs $(alpha, beta)$. What is an efficient method to compute this?







probability numerical-methods moment-generating-functions expected-value






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 16 at 11:26









Todor MarkovTodor Markov

2,410412




2,410412












  • $begingroup$
    Do you have access to advanced mathematical software, such as Matlab, Mathematica, etc.? Or some open software, I'm sure a lot of them have the packages for computing hypergeometric functions
    $endgroup$
    – Yuriy S
    Jan 16 at 12:04












  • $begingroup$
    @YuriyS Well, no, that's the problem. I need to implement that is Stan, which I don't think has it inbuilt.
    $endgroup$
    – Todor Markov
    Jan 16 at 12:07










  • $begingroup$
    Ok, well, in general, evaluating hypergeometric functions is not a trivial task. First, you can obviously use the series definition. Another option is to find an integral representation and use some numerical quadrature. Yet another option is to find the ODE which the function obeys and solve it numerically. The choice depends on the range of the parameters and other things... Not sure about ${_1 F_1}$, you'll just have to hit the books so to speak (like NIST library of functions, or Abramowitz and Stegun for example)
    $endgroup$
    – Yuriy S
    Jan 16 at 12:13












  • $begingroup$
    If I remember correctly, Bessel function and also Laguerre polynomials are particular cases of this function, so there has to be plenty of sources available
    $endgroup$
    – Yuriy S
    Jan 16 at 12:14








  • 1




    $begingroup$
    just google it, you may take a look at people.maths.ox.ac.uk/porterm/papers/hypergeometric-final.pdf
    $endgroup$
    – BGM
    Jan 17 at 7:36


















  • $begingroup$
    Do you have access to advanced mathematical software, such as Matlab, Mathematica, etc.? Or some open software, I'm sure a lot of them have the packages for computing hypergeometric functions
    $endgroup$
    – Yuriy S
    Jan 16 at 12:04












  • $begingroup$
    @YuriyS Well, no, that's the problem. I need to implement that is Stan, which I don't think has it inbuilt.
    $endgroup$
    – Todor Markov
    Jan 16 at 12:07










  • $begingroup$
    Ok, well, in general, evaluating hypergeometric functions is not a trivial task. First, you can obviously use the series definition. Another option is to find an integral representation and use some numerical quadrature. Yet another option is to find the ODE which the function obeys and solve it numerically. The choice depends on the range of the parameters and other things... Not sure about ${_1 F_1}$, you'll just have to hit the books so to speak (like NIST library of functions, or Abramowitz and Stegun for example)
    $endgroup$
    – Yuriy S
    Jan 16 at 12:13












  • $begingroup$
    If I remember correctly, Bessel function and also Laguerre polynomials are particular cases of this function, so there has to be plenty of sources available
    $endgroup$
    – Yuriy S
    Jan 16 at 12:14








  • 1




    $begingroup$
    just google it, you may take a look at people.maths.ox.ac.uk/porterm/papers/hypergeometric-final.pdf
    $endgroup$
    – BGM
    Jan 17 at 7:36
















$begingroup$
Do you have access to advanced mathematical software, such as Matlab, Mathematica, etc.? Or some open software, I'm sure a lot of them have the packages for computing hypergeometric functions
$endgroup$
– Yuriy S
Jan 16 at 12:04






$begingroup$
Do you have access to advanced mathematical software, such as Matlab, Mathematica, etc.? Or some open software, I'm sure a lot of them have the packages for computing hypergeometric functions
$endgroup$
– Yuriy S
Jan 16 at 12:04














$begingroup$
@YuriyS Well, no, that's the problem. I need to implement that is Stan, which I don't think has it inbuilt.
$endgroup$
– Todor Markov
Jan 16 at 12:07




$begingroup$
@YuriyS Well, no, that's the problem. I need to implement that is Stan, which I don't think has it inbuilt.
$endgroup$
– Todor Markov
Jan 16 at 12:07












$begingroup$
Ok, well, in general, evaluating hypergeometric functions is not a trivial task. First, you can obviously use the series definition. Another option is to find an integral representation and use some numerical quadrature. Yet another option is to find the ODE which the function obeys and solve it numerically. The choice depends on the range of the parameters and other things... Not sure about ${_1 F_1}$, you'll just have to hit the books so to speak (like NIST library of functions, or Abramowitz and Stegun for example)
$endgroup$
– Yuriy S
Jan 16 at 12:13






$begingroup$
Ok, well, in general, evaluating hypergeometric functions is not a trivial task. First, you can obviously use the series definition. Another option is to find an integral representation and use some numerical quadrature. Yet another option is to find the ODE which the function obeys and solve it numerically. The choice depends on the range of the parameters and other things... Not sure about ${_1 F_1}$, you'll just have to hit the books so to speak (like NIST library of functions, or Abramowitz and Stegun for example)
$endgroup$
– Yuriy S
Jan 16 at 12:13














$begingroup$
If I remember correctly, Bessel function and also Laguerre polynomials are particular cases of this function, so there has to be plenty of sources available
$endgroup$
– Yuriy S
Jan 16 at 12:14






$begingroup$
If I remember correctly, Bessel function and also Laguerre polynomials are particular cases of this function, so there has to be plenty of sources available
$endgroup$
– Yuriy S
Jan 16 at 12:14






1




1




$begingroup$
just google it, you may take a look at people.maths.ox.ac.uk/porterm/papers/hypergeometric-final.pdf
$endgroup$
– BGM
Jan 17 at 7:36




$begingroup$
just google it, you may take a look at people.maths.ox.ac.uk/porterm/papers/hypergeometric-final.pdf
$endgroup$
– BGM
Jan 17 at 7:36










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