# Questions tagged [estimators]

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### Subtraction of two variances (scores)

I was wondering, would it be correct to say, when we treat two variances of two populations as a random variable itself (or as a score), that we can simply get a resultant variance V_subtract = V_pop1 ...
97 views

### gridsearchcv best coefficients do not match well with the perfect line

I wrote a program to find the best combination of coefficients to describe a variable. However, the coefficients from the gridsearchcv do not match well with the expected line. This is a sample of my ...
96 views

### Offline/Batch Reinforcement Learning: Doubly Robust Off-policy Estimator takes huge values

Context: My team and I are working on a RL problem for a specific application. We have data collected from user interactions (states, actions, etc.). It is too costly for us to emulate agents. We ...
80 views

### What is the value of AIC criterion if RSS is 0? [closed]

The AIC formula is : $AIC = 2k + n Log(RSS/n)$ So if RSS is equal to 0, it is undefined. How do I deal with this? What value should it take?
1 vote
114 views

### Pearson correlation coefficient - is correlation estimator acceptable?

As far as I know when it comes to theory, we use Pearson correlation when we want to check the correlation between two variables, which are both continuous or discrete. For a mixed case it's not so ...
35 views

### How can I do the correlation between two estimators?

I'm working with several estimators of all kind. Then, I want to stack these estimators, and the best is if they have low correlation between them. I suppose that the correlation method depends on ...
1 vote
230 views

### Math behind, MSE = bias^2 + variance

Based on the deeplearningbook: $$MSE = E[(\theta_m^{-} - \theta)^2]$$ $$equals$$ $$Bias(\theta_m^{-})^2 + Var(\theta_m^{-})$$ where m is the number of samples ...
36 views

### Is it possible to estimate

For example, if I want to know a page views/relative prevalence of a Reddit post, and I have the upvote and downvote data. Is it valid that I use the upvote and downvote to predict that, even if I ...
1 vote
22 views

### Observation Operator - Data Assimilation

In data assimilation, one assumes the existence of a observation operator $\mathcal{H}$ that maps the model-state vector $\bf{x_b}$ to $\bf{y_b}$ (the model-equivalent of the observations $\bf{y_o}$) ...
2k views

### What is the difference between a Categorical Column and a Dense Column?

In Tensorflow, there are 9 different feature columns, arranged into three groups: categorical, dense and hybrid. From reading the guide, I understand categorical columns are used to represent ...
104 views

### Latent variables with thresholds

There are many ML techniques to estimate latent variables such as the EM algorithm. Is there a technique that allows for thresholds for each of the latent variables? I have a feature space with 10 ...
236 views

### Using recurrent neural networks for modeling errors in IMUs

Inertial measurement units (IMU), usually composed of accelerometers and gyroscopes; are well known to have inherent errors in their data, originating from bias, random walk noise, temperature ...
1 vote
3k views

### How to Save TensorFlow model using estimator.export_savemodel() [closed]

How can i Save the TensorFlow model using estimator.export_savedmode() ? Especially, what should i put inside the ...
33k views

### 'DecisionTreeClassifier' object has no attribute 'importances_'

I've this code in order to visualize the most important feature of each model: ...
1 vote
69 views

### Plotting estimates of Tail Dependence Coefficient in R

I want to plot the following estimate of the tail dependence coefficient: $\hat{\lambda}_n=\frac{1}{k}\sum_{j=1}^nI_{\{X_j>X_{(n-k)},Y_j>X_{(n-k)}\}}$ where $I_{(.)}$ is an indicator function ...
Suppose I have a sample {$z_i$}$_{i\in[0,N]}$ = {($x_i,y_i$)}$_{i\in[0,N]}$ which commes from a probability distribution $p_z(z)$. How can I use it to estimate the mutual information between X and Y ? ...