# All Questions

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14 views

### Split-split-plot design: Analysis and error terms

Can I have three levels of randomization and three error terms even when the replications are produced under same whole plot treatments under split split plot design? For example, three reps are ...
15 views

### Constraint Linear regression in finance

Below you can find the problem that I am trying to understand. My main problem is to understand where do the reparametrization that they propose come from. Alternatively I have try to connect it with ...
• 217
22 views

### Universal approximation related to activation regions

We assume we have an interval $I=[a,b]$. We define $C(I)$ to be the set of continuous functions on $I$. We further define the set of one-hidden layer neural networks NN(H,\theta)=\left\{ f_{\theta}=\...
• 161
14 views

### R code for prediction of capital in a new company [closed]

Construct R code to calculate the capital required for a new insurance company at ages 30.0, 30.1, 30.2, … , 54.9, 55.0. Display this capital as an additional line on the plot. i got an r code like ...
• 7
1 vote
10 views

### Identifying groups/patterns in a random dataset using Matlab [closed]

I have the datasets which may contain multiple patterns. The data needs to be classified based on grouping in the data. The figure below shows an example of the data. The circles around the data are ...
• 111
18 views

### Theoretical Results for MICE Imputation

Is there any literature exploring convergence guarantees of the MICE imputation method for missing data? In practice, the method seems to work pretty reliably with different regressor but I can't seem ...
1 vote
50 views

### Regression Analysis for Proportional Data

I am going to try to simplify the context of my analysis into an apples/oranges scenario. I have 30 baskets, each with 10 fruits. The 10 fruits are made up of a number of apples and oranges. Each ...
• 13
12 views

### How to generate sequences given an arbitrary Cohen's kappa value [closed]

I could I create two sequences s,t of arbitrary numbers out of 0..N, length L elements such that sklearn.metrics.cohen_kappa_score(s,t) ~= k where k is a value I ...
• 303
10 views

### How to concretely make predictions with ARIMA models? [closed]

I am currently studying ARIMA models and I think I understand the idea behind it. I've tried to predict future values of a stock price just to try out these methodologies. I am using log of the price ...
8 views

### Uniformly most powerful test for a poisson distribution [closed]

Let X X X n , , ..., 1 2 be a random sample from the pmf 0,1, 2, ..., ( 0) (; ) ! 0, x e x f x x otherwise Find a Uniformly Most Powerful (UMP) Unbiased size α test for 0 0 H :θ =θ against 1 0 H :θ ≠
22 views

### Gillespie's Algorithm's Connection to Kolmogorov's Forward Equations

I've been learning Gillespie's algorithm to simulate continuous time Markov chains. I understand how the algorithm is derived from the reaction probability density function $P(\tau, \mu)$ = ...
9 views

### Recalibration of Aleatoric and Epistemic Regression Uncertainty

i was reading about the problem of calibration of the credible intervals provided by bayesian neural networks In this paper Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical ...
• 259
7 views

### Superlearner Without OOB Results

I'm interested in creating a superlearner algorithm. Unfortunately, my situation is such that I have access to the predictions of submodels I'm interested in on new data, but don't necessarily have ...
• 1
11 views

### Estimating standard deviation of a posterior generated by importance sampling MC uncertainty propagation [closed]

If I want to the esimate the statistical properties of a black-box model with uncertain parameters with known distributions, I can quite easily run an MC simulation to generate a histrogram of model ...
1 vote
53 views

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1 vote
23 views

### Explainable AI - Noise in gradients and embeddings of large language models

I am doing experiments related to explainable AI. I have two BERT models - the standard bert-base-cased and a distilled ...
12 views

### how to interpret the result from aregImpute () in the Hmisc package and how to interpret the NK value in their provided example? [closed]

I was just going though the document in aregImpute () function in the Hmisc package, the example was as below: ...
14 views

### Which ANOVA in R: two way, nested, 2x3 mixed design?

I'm pretty novice in R, but I have to conduct following analysis, that include impact of two Cd treatments (without and with ascorbic acid = A) on several plant anatomical traits. Plants were sampled ...
44 views

### Comparing the means of two groups with different sizes

I am doing an statictical study over ultra-marathon runners (100 km distance) where I have a large number of data points (race records) corresponding to the average race speed of different runners ...
• 21
10 views

### Significance test using r studio [closed]

used to be that 50% of the target population had tried marijuana, does this data indicate an increase in marijuana usage? Do a significance test of proportions to decide.How to extract the pop size ...
1 vote
24 views

### Logistic regression and confounders or mediators

For a researchproject I would like to use the logistic regression model. I look at the relationship between SES (categorial) and participation in training (dichotomous). Now there are several ...
9 views

### How can I help my model's batch-normalization layers converge?

I have a very deep convolutional network that I am training and found the batch normalization layers to fail to learn a good representation of the data. My dataset consists of several subsets of ...
• 270
48 views

### How did deep learning overcome numerical problems associated with earlier ANNs? [closed]

From my understanding, the basic design of an artificial neuron has remained essentially the same since the 1960s. Before the bloom of deep learning models in ~2010, there were two obstacles to deep ...
• 101
42 views

### Why the means fluctuate so wildly when using models with gamma inverse and identity? It's like taking a trippy journey

My dependent variable is reading time. My two predictors are categorical. I conducted a lmer model with the default family and the performance package indicated that the response distribution fits ...
• 57
32 views

### Is it possible to use some form of curve identifcation algorithm or model in R to identify a curve based on data from three different treatments?

I was wondering if it is possible to train a model or algorithmn to identify a curve shape based on experimental data. Say we have 3 treatments 0 mM sugar, 1 mM sugar and 10 mM sugar and three ...
1 vote
16 views

### Calculate standard error from confidence interval obtained for standardised incidence ratio

I would like to do a meta-analysis and pool data for standardised incidence ratio (SIR). I have the estimates for SIR and the corresponding 95% confidence interval (CI) for all studies. The CI are ...
• 215
1 vote
19 views

### How to estimate survival probabilities by assessing covariates in a multivariate Cox proportional hazards model?

I'm working through the examples for Cox proportional hazard models provided in http://www.sthda.com/english/wiki/cox-proportional-hazards-model, and I am on the last example labeled "Visualizing ...
34 views

### Posterior predictive distribution for Bernoulli (and categorical)

I'm trying to confirm something I've tried to figure out about the posterior predictive distribution for Bernoulli vs. Binomial (and categorical vs. multinomial) random variables after a Bayesian ...
• 27.2k
1 vote