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Questions tagged [robust]

Robustness in general refers to a statistic's insensitivity to deviations from its underlying assumptions (Huber and Ronchetti, 2009).

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I am new to working with country-level effects in comparative OLS regression with individual-level data. Are there any good resources for this? Suppose my dependent variable is social integration (an ...
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I would like to obtain estimates of the variance explained by each predictor in multiple regression using robust linear regression (for instance with the R function ...
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3 votes
1 answer
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I hope that this message finds you well. I am trying to solve a robust regression (Huber M-estimator) with iteratively reweighted least-squares by taking the following steps (as advised by the manual):...
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Oftentimes, we try to maximize the expected reward. But generally, in control theory, you try to be risk-sensitive, and use more robust methods. For example, maximize the expected reward but give a ...
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2 votes
0 answers
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Suppose that I have a time series where the mean usually changes smoothly over time, and I want a hypothesis test for whether there is a weekly seasonal pattern to the data. The time series also ...
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8 votes
1 answer
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I revised my question to be more specific, as suggested by the community. Since my knowledge of statistics is limited, I'm not entirely sure what it means to specialize in this subject—but I'll give ...
Ertan's user avatar
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In robust mean estimation under strong contamination models (e.g., Huber's model or adversarial corruption), variance is often used to assign small weights to suspicious data sources Kane, D. M., ...
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I have $k = |K|$ arms with unknown distribution $\nu_\alpha$ over $[0,1]$ and unknown mean $\mu_\alpha \in [0,1]$ where $\alpha \in K$. The action $A_t \in \{1, \dots, K\}$ is chosen at time $t$ ...
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3 votes
1 answer
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I am currently learning about robust regression and came across two variants: the Theil–Sen estimator and Repeated Median Regression. However, I got confused when comparing these two algorithms. Both ...
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1 vote
1 answer
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I have the following table for two different methods tested in with two different conditions at a pass/failed task, e.g. $4/5$ means the method had succeeded 4 times out of 5 trials. Condition 1 ...
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I have a series $X_1,\ldots X_n$ of iid random variables with finite expectation $\mu$, which is to be estimated. The standard estimator is $\frac{X_1+\ldots+X_n}{n}$, but I'd like to be protected ...
Vnature's user avatar
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2 votes
3 answers
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I have 25 data points of the form $(x,y)$ where $x$ is $1,2,3,...,25$ and $y$ is the dependent variable. I need to determine if $y$ values are increasing, decreasing, or staying the same. The method ...
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I have a biomarker ratio (amyloid 42/40) and I am having issues modelling it. This is the proportion of a biomarker to another biomarker and it is important in diagnosing dementia. I am using as both ...
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I hope that someone can help me with the following problem with Waldtest and robustlmm package. I want to compare two robust regression models. I want to test ...
AM8's user avatar
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3 votes
1 answer
333 views

I ran a HC (‘robust’) regression. The intercept is significant, which is reflected in the confidence intervals around the unstandardized betas. However, the CIs around the standardized β are quite ...
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