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I need to select the best fraction for my biomass model output through validation with field data. This is what I have: I have a model that outputs daily Biomass values The model output is expressed ...
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If for example, we have this regression: Y = a + ß_0 + ß_1 Treatment + ß_2 Post + ß_3(PostTreatment) + e Variables: Y: weekly growth rate of decease cases per 100k p., Treatment: 1 countries with face ...
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I recently learned that realizations of a stochastic model that is commonly used in population genetics, the Kingman coalescent, can be viewed as random metric spaces. In particular, each realization ...
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I'm reaching out for guidance on probabilistic modeling for time series data. My background is not in machine learning, so I'm looking for insights from more experienced practitioners in the field. My ...
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I am trying to calculate risk (or prevalence) difference using svyglm. After searching for relevant documentation, I still feel uncertain if I can use a general ...
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I am working on a conformal prediction task with python. I am currently using the crepes package but I encountered similar problems with mapie. Consider a sequential learning task, where: we define a ...
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In a wireless communication scenario, received signal $y$ is governed by the following equation: $$y=hx+n$$ where $h=|h|\exp(j\theta)$ and $j=\sqrt{-1}$ is the random channel coefficient with distinct ...
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I am conducting a conjoint experiment, and my theory predicts that treatment effects vary by respondents’ socioeconomic status—specifically, whether they are poor and employed. I have approximately 1,...
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I am broadly curious about making the following notion precise, and getting answers: How can we max-min our confidence that we've identified causal factors that should be part of a problem model, ...
Chris's user avatar
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I've been trying to work on some GAMs recently and look at the response derivatives at different factor levels. gratia::response_derivatives() seems like the way to ...
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So, I have this scientific instrument, and I'm getting great data out of it, but as all real apparatus are prone to, the signal can have lots of noise mixed in. To combat that error, I've implemented ...
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I am conducting an evolutionary study in which I am taking various measurements of spines from related species of dragonflies under different predations. Some species do not have all spines, others ...
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My time series takes values in the range [-3, 3]. Standard percentage error metrics like MAPE don't work well here. For example, if the actual value is 0.1 and I predict 0.3, that's a 200% error even ...
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I'm analyzing monthly time series data to estimate the effect of a policy intervention. I have approximately 5 years of monthly data (60 observations), with the intervention occurring roughly in the ...
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I am working on feature extraction for texture analysis. I am trying to understand the physical intuition behind using Deterministic Chaotic Weights compared to standard weighting schemes. 1. Uniform ...
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