Skip to main content

All Questions

2 votes
1 answer
92 views

Non-Parametric Regression with an Omitted Variable

Suppose we use the Kernel Regression Estimator $$\hat{m}(c)=\frac{\sum_{i=1}^n K\left(\frac{x_i-c}{h}\right)y_i}{\sum_{i=1}^n K\left(\frac{x_i-c}{h}\right)}$$ where $h\to 0$ and $nh\to \infty$ as $n\...
Joseph Basford's user avatar
2 votes
0 answers
66 views

Linear model for maximizing rank correlation between observed and predicted response

linear regression is modelled as $$Y = X\beta + \epsilon$$ for response variable $Y$ (vector), design matrix $X$, and iid Gaussian noise $\epsilon$ (vector). instead of minimizing the mean squared ...
fool's user avatar
  • 2,480
5 votes
0 answers
27 views

Are these two estimated regression coefficient asymptotically equivalent? If not, which one is more efficient?

Suppose I have $Y=\beta_1X_1+\beta_2X_1X_2+g(X_2)+u$, where $E(u|X_1,X_2)=0$ and $S=g(X_2)+e$ with $E(e|X_2)=0$. I have a random sample $\{Y_i,X_{1i},X_{2i},S_i\}_{i=1}^n$. Suppose I first use a ...
ExcitedSnail's user avatar
  • 2,956
0 votes
1 answer
56 views

Non-Parametric Test for Regression Significance

I have created a plot of the regression slope of sea surface temperatures (x) and an atmospheric variable (y). Although, I need to test the statistical significance of these trends using a non-...
Megan Franke's user avatar
1 vote
1 answer
109 views

OLR for non-normal continuous dependent variable with two categorical independent variables?

ID Sex Surface B1 1 female UN 1255 2 female UN 542 3 female UN 818 1 female UN 274 2 female UN 261 3 female UN 314 1 female UP 552 2 female UP 548 3 female UP 721 1 female UP 431 2 female ...
Noob29's user avatar
  • 11
1 vote
0 answers
166 views

Projection pursuit regression

Projection pursuit regression (PPR) is described in Hastie et al.'s The Elements of Statistical Learning in the chapter on neural networks. The algorithm was introduced by Friedman and Stuetzle (1981)....
Estacionario's user avatar
0 votes
0 answers
7 views

Regression models that conform to functional groupings of features

For example, suppose we want to predict y with features x1, x2, x3, x4. If I specify ...
olives's user avatar
  • 31
1 vote
1 answer
113 views

Multiple Linear regression unmet assumptions, what can I do?

I need your help with some work I am doing. Some context first: I am writing a dissertation for my master. The topic is about perceived trust in Smart Home technology. I launched a survey with a ...
Abdel Kdj's user avatar
0 votes
0 answers
25 views

Can I use log-log OLS with no constant to measrue the relationship between two variables in a non-normal distribution?

I am trying to measure the relationship between the price of a futures-contract and the current price of the underlying asset on the day of purchasing said futures-contract. For this I have a dataset ...
Statauser's user avatar
1 vote
1 answer
156 views

How to use the argument stype in boot-package in R? [closed]

The stype argument in boot of R can take 3 values: "i" which is the default, "w" or "f". What is ...
Hussain's user avatar
  • 151
1 vote
0 answers
68 views

Gaussian Process Regression prior with observations as integrals?

Consider some standard 1d Gaussian Process Regression (GPR). Suppose you are not happy with a typical mean-zero prior away from the data and you actually want something like the derivative of the mean ...
safetyduck's user avatar
1 vote
2 answers
71 views

which non parametric test to use? friedman or Kruskal?

I am conducting a study on textrual complexity. We fed people food (3 types) over 3 sessions and asked questions about hunger levels. 20 participants were tested during 60 trials in total. Of the 14 ...
luke pringle's user avatar
1 vote
0 answers
127 views

Gasser Müller estimator for estimating the derivative $m'(x)$ of a nonparametric regression function

I would like to compare the performance of the Gasser Müller estimator with other estimators for estimating the the derivative $m'(x)$ of the regression function $m(x)$. Let's say we have the ...
Mathieu Rousseau's user avatar
3 votes
2 answers
1k views

Why is the Cox-PH Model called "Semi Parametric"?

When it comes to Survival Analysis, I understand that there are 3 main classes of models: Non-Parametric Models Parametric Models Semi-Parametric Models Non-Parametric models are like the Kaplan-...
stats_noob's user avatar
1 vote
1 answer
241 views

Which statistical test should I use if the assumptions of a 2-way ANOVA are not met?

My study design consists of two factors (one with 2 levels, the other with 6) and a continuous response variable. In order to analyze the influence of both factors on the explanatory variable I built ...
Insect_biologist's user avatar

15 30 50 per page
1
2 3 4 5
12