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Cross Validated : Recent Questions and Answers (Page 18)

Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.

Von Mises distribution to detect outliers

I am working out the difference between two angles from a circle, and I work out the mean difference across 96 trials in 10 separate samples. In order to detect...

Asked on 12/13/2021 by velvetshelter

1 answer

What transformations preserve the von Mises distribution?

The von Mises distribution is entirely defined on the circle with a density given by$$f(x) = (2,pi, I_0(kappa))^{-1} exp(kappa cos(x-mu)) ,$$where $x$ is in an arbitrary real...

Asked on 12/13/2021

1 answer

what is the name of distribution similar to von mises distribution

I am wondering whether the following PDF is a named distribution. Over the interval $0< theta < pi$, the PDF of the distribution is written as$$ P(theta) = frac{2^{-n/2}...

Asked on 12/13/2021

0 answer

Count Panel Data Event Study

Can anyone suggest a lecture/paper/textbook that covers an event study (eg. exogenous policy change) using count time-series (or penal) data? Or alternatively, just a general guideline as to what approaches...

Asked on 12/13/2021 by econstat

1 answer

Expectations of cosine under von Mises distribution

I'm trying to work out the expectations of a few functions under the von Mises distribution: $p(theta mid mu, kappa) = frac{1}{2pi I_0(kappa)}expleft{ kappa cos left( theta...

Asked on 12/13/2021

1 answer

Significance Levels, Confidence Intervals and P-Values

I'm new to statistics and still learning some of the basic concepts. Although I am slowly getting them sorted out, I still often find myself getting confused between Significance...

Asked on 12/13/2021

1 answer

Backpropagation on a convolutional layer

Online tutorials describe in depth the convolution of an image with a filter, etc; However, I have not seen one that describes the backpropagation on the filter (at least visually)....

Asked on 12/13/2021

1 answer

Mixed Models: How to derive Henderson's mixed-model equations?

In the context of best linear unbiased predictors (BLUP), Henderson specified the mixed-model equations (see Henderson (1950): Estimation of Genetic Parameters. Annals of Mathematical Statistics, 21, 309-310). Let us assume...

Asked on 12/13/2021 by DomB

2 answer

Working with Time Series data: splitting the dataset and putting the model into production

I've been working with ML for sometime now, especially Deep Learning, but I haven't work with Time Series before, and now I started working in a project for Demand Forecasting....

Asked on 12/13/2021 by Fernando Camargo

2 answer

Changing the reference level for contrasts on glmer (lme4) changes the output in anova

I am fitting my data (around 10.000 datapoints) using the following generalised linear mixed model from the lme4 package:model1<-glmer(reactionTimes ~ congruency * condition + frequencyItem + lengthItem + (1|subject)...

Asked on 12/13/2021 by Evy

0 answer

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