optimization

1. Penalized EM algorithm

Good day I am currently working through the following paper. I'm trying to write out the proof for how they obtained equation 3. I have attached a picture of my attempt. (I am new to this discussion board and can't seem to figure out how to insert latex code. That is why I attached a picture...
2. Compound Distribution Hyper-Parameters

Hi, If a compound distribution is made up of a gamma dist with parameters (a,b), and b is gamma-distributed so that its parameters are (c,d), such that I have a compound distribution -> f(a,c,d) (i.e. b has been marginalised out). My question is: If I am using the log-likelihood of the...
3. Optimizing java to R call in Rserve

I am facing a problem while performing optimization using lpSolveAPI in R and Java on a large dataset. I tried Rserve,RCaller,JRI,Renjin and found that Rserve is what actually suits my need. RCaller has a functionality that has allows to run all the r commands as a batch, but after that the...
4. Constraint Optimization- Value not in the interior of the feasible region

I'm trying to replicate the Excel Solver in R- which is basically a constraint optimization problem I'm trying to minimize the cost per action which is total spend/ total actions which equals to the below function with a few constraints. CPA function: '(a+b+c+d)/((consta+(Baln(a)))+...
5. Constraint Optimization using R

Hi, I'm trying to replicate the Excel Solver in R- which is basically a constraint optimization problem I'm trying to minimize the cost per action which is total spend/ total actions which equals to the below function with a few constraints. CPA function...
6. Grouping data segments and applying % modifiers to maximise output

I'm trying to determine the best way to approach an optimization problem, but have been struggling to determine what statistical methods are appropriate. I've search for a few hours and nothing seems to click as an accurate approach. I have a day of data, broken down into hourly segments. For...
7. relation within Gauss-Newton method for minimization

If we study model fit on a nonlinear regression model Y_i=f(z_i,\theta)+\epsilon_i, i=1,...,n, and in the Gauss-Newton method, the update on the parameter $\theta$ from step $t$ to $t+1$ is to minimize the ￼sum of squares...
8. Optimization problem - I need a flat floor!

Okay, so my concrete floor is not level - there are high spots and there are low spots. My goal is to achieve <1/8th inch difference between any two spots within any 10 foot radius. What I have is elevation measurements across the entire floor, at every 6 inches along the Y and the X axis...
9. Compute an optimization stress from size distribution density and abundance

Hi everyone, Here's the shortest version of this optimization problem: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I need to find out the value of one growth rate and one mortality rate by simulating a population between two assessment...
10. Optimization of variables with significantly different standard errors.

Hi everyone! I have some issues related to the title at hand, and hopefully you guys can help. Sorry for the long post. I have forecasted mean variance data given to me for about 10 different variables. I need to optimize those variables. I have historical data for those 10 different...
11. A

maximum logistic function

how can maximum the \sum\limits_{j=1}^{J}{\sum\limits_{t=1}^{T}{h_{jt}(x_t;\theta)\dfrac{e^{\alpha_j+X\beta}}{\sum\limits_{l=1}^{L}{e^{\alpha_l+X\beta}}}}} where h_{jt} is known and\alpha and \beta=(\beta_1,\ldots,\beta_s) are parameter and must be estimate.
12. [Optimization – Solver] Good model fit, but wrong standard deviation coefficients

Dear reader, I am facing an optimization problem and, at this point, I need help from someone with more knowledge than me. My goal: For a non-linear regression method, I use the solver add-in function of Microsoft Excel to obtain the equation parameters by minimizing the sum of the squares...
13. Online-estimate of squared correlation coefficient for linear optimization

Summary: Is there a way to directly estimate the squared correlation between two zero-mean Gaussian variables on-line and without storing more than two samples at any given time? Dear all, I am working on an optimization procedure to minimize the correlation between two zero-mean normally...
14. how to test for significant differencecs in ML estimates after optim()

I am trying to test whether or not there is a significant difference between maximum likelihood estimates of two genetic parameters (selection and dominance) across two environments with genotype data from a cross. There are three genotype classes, C11, C12, and C22, and I am looking to maximize...
15. Statistics Help

Hello Everyone, I'm quite new to Stats and desperately need some help here. I'm working on resource planning with some data. The data that I have is... number of work items per day during the last year. Number of work items keep changing day to day and these numbers could be anywhere...
16. Surface Response Metodolgy: What model should i use for a 2 factor design

I made a SRM for a chemistry experiment. The factors analyzed were 2 an i had 5 responses. For the model can i use a cubic model or should i use a cuadratic model due to the number or factors analyzed? For some responses the best fit is a cuadratic and for some other is the cubic. Is correct...