Extremely new to Julia, so please pardon any obvious oversights on my end I am trying to estimate a piecewise likelihood function through optimizatio ...
Extremely new to Julia, so please pardon any obvious oversights on my end I am trying to estimate a piecewise likelihood function through optimizatio ...
I have a data set with 1,000 of people some of which know each other and others do not. I am trying to predict using a hawkes point process which indi ...
I am trying to calculate distribution parameters to calculate log-likelihood values. Whilst "optim" seems to work for the function defined below, it o ...
We can write a simple function that generates a random variable according to any user-specified distribution, including those with a varying number of ...
I'm trying to compute a specific sum in R as quickly as possible. The object of interest is and the relevant input objects are two L times K matric ...
I have tried simulating a process by inputting a model and its parameters for alpha0, alpha1 and beta 1. The model uses a poisson distribution condit ...
I have the following log-likelihood from my model which i am trying to write as a function in R. My issue come as i dont know how to write theta in ...
I'm doing a project on Extreme Value Theory in R and I'm having to code my own maximum likelihood estimates for the parameters for each of the 3 distr ...
I am trying to fit a gnls function in R and throws me an error that says: Error in eval(predvars, data, env) : object A not found Not sure where I am ...
I am trying to store coefficients from a mle model just like a normally do for other models. Surprisingly, it throws an error. Any other methods to st ...
I've fitted 9 different models to my data using the R package diversitree, which returns a list of class "fit.mle", which contains estimated parameter ...
I'm building my own maximum likelihood estimator that estimates the parameters associated with the mean and standard deviation. On simulated data my f ...
I am trying to understand how this function works and the mathematics behind it. Does decision_function() in scikitlearn give us log odds? The functio ...
I have been using "sae" package for R to use small area estimations with spatial fay-herriot models (SFH). Using different distance matrices I occasio ...
I am trying to optimize the parameters of a function with a bound using R's optim() function. Here is the function: Function, because mathjax does not ...
In an experiment, we had two types of treatments -- same species (x1.test at two densities 1000, 5000) or different species (x2.test at two densities ...
The data set (x.test, y.test) is an exponential fit. I'm trying to fit a custom non-linear function and attached is the code. The regular points plot ...
Given a sample from a distribution and assuming it is Gaussian (normal distribution with unknown mu, sigma), the task is to find the parameters mean a ...
I currently have two Torch Tensors, p and x, which both have the shape of (batch_size, input_size). I would like to calculate the Bernoulli log likel ...
I am trying to use negative log-likelihood as a metric in my neural network. However, I have found two different implementations of the loss and I can ...