Questions tagged [weighted-data]

Datasets where different pieces of data can have different "weights", i.e. different importance.

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Weightings using exponents

I've got this piece of work to do where we assign weightings to different variable to achieve a score: var A = 60% var B = 40% var C = 20% var D = 5% The score was calculated as: $(A^{0.6} x B^{...
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16 views

How to add weights to some values in my dataset? [duplicate]

I am creating a model where I predict runs scored by a team against another team. Name of both teams are given but runs scored is also dependent on the year factor. Suppose Team A was really good ...
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13 views

Stochastic/batch gradient descent (type SGD/ADAM) with weighted mean square error loss

Assume I assign uneven weights to losses of different examples, i.e. I set my SGD/ADAM to train a universal approximator f (e.g. a neural net) by minimization of a weighted mean square error: $ L = \...
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9 views

Compensating for bias in a location-based weighted average

I have a data set where each point comes from a specific geographic location. I want my users to see a weighted average of the data, so that the average is biased toward their location. The problem ...
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17 views

How can I aggregate the estimates for the rate of decay from different experimental runs?

I have data for a device that dispenses material and I want to use an exponential decay model in python to relate the flow rate to the mass left inside the device, in particular $flow = \beta_0 + \...
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36 views

Weigh Kullback Leibler Divergence with P entropy?

I'm wondering if it makes sense to weight Kullback-Leibler Divergences to highlight divergences on highly distinguishing features. I am however not very well versed in Information Theory, and would ...
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16 views

How to combine PCA scores? [duplicate]

I was wondering if anyone knew how to combine the different PCA scores. In my dataset I have 3 PCs that explain more than 10% of the variation of shape of a bone and each one explains different ...
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60 views

OOB error prediction in RF if case weights are used

I have a dataset for which grossing-up factors are given. I am using these factors as case weights for a random forest (R package ranger). Until now I was using the OOB prediction error for tuning, ...
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29 views

calculate the average visits and running days

What do I've got? I have received a huge data from a real estate portal. It contains more than 50 million rows and data for over 10 years. In addition to the rental prices and other parameters (...
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1answer
243 views

Using instance weights in XGBoost

I want to understand whether giving weights to instances across a dataset in XGBoost using the below method makes sense. I switched to this method after trying out a few approaches that didn't fare ...
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45 views

Should I weight points in a mixed model to account for groups having different numbers of points?

My research investigates the carriage of Salmonella by raccoons captured on multiple occasions. I am interested in modelling the relationship between sampling interval (number of days between two ...
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477 views

Weighted Categorical Variable

Consider for example I have a retrospective data that contains one categorical variable Race and one other variable Weight <...
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51 views

Why does my N change when weighting cases in SPSS?

I'm stuck here while analyzing data in SPSS and I could really use some help. I'm weighting cases in my dataset, but when I run any analysis my N has changed from 189 to 176. Is this normal with ...
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274 views

On feature scaling and weighting for clustering

The issue of feature scaling and weighting for cluster formation has been widely discussed in several books and papers as well as several questions (e.g. here ). To my understanting, variable range is ...
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40 views

How to assign class weights & also mis-classification cost in multi class classification of Vowpal Wabit?

I have a problem of Ordinal Classification consisting of labels 1 < 2 < 3 < 4 < 5 < 6. Since the data and cardinality of features are extremely large I have but one choice to use Vowpal ...
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51 views

Combining multiple observation weights for classification

Let's say you have multiple sources of observation weights for a dataset. For example, you have a $[0,1]$ weight coming from the label's certainty ($w_c$) and another one coming from its recency ($w_t$...
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54 views

R Calculate sample weights based on two socio-demographic variables and aggregate results

After conducting a short survey, I have collected the results in the form of a dataframe. This is a reproducible version of what the actual data frame looks like. ...
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57 views

Weighted covariance with different reliability weights?

Suppose observables $X$ and $Y$ possess different reliability weights $w_{x,i}$ and $w_{y,i}$ for the possible elements $x_i\in X$ and $y_i\in Y$ respectively. Considering a sequence of consecutive ...
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82 views

Duplicated Rows in Mixed Data Type Clustering

I have a dataset which has ~200k rows and looks like the following - ...
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1answer
13 views

how to estimate prognostic core for a continuous, multinomial, and binary treatment, respectively

Quoting David Hajage and Finbarr Leacy, respectively: "Introduced by Hansen in 2008, the prognostic score (PGS) has been presented as ‘the prognostic analogue of the propensity score’ (PPS). ...
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1answer
34 views

Comparison of means from different sample sizes

I have a data set which contains avg profit and the number of samples for each data point, no more information. I'd like to compare the data points and decide which one to focus on more. However, I'm ...
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51 views

Do I replicate observations to weight by population? For regression

Note: This question may well be a duplicate, but I don't know the language to use to find it. I have searched the site and Google but haven't seen anything that I am looking for – maybe dasymetric ...
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56 views

Stochastic gradient descent (SGD) on data with weights

Mostly deep learning model training is on data with a unit weight. In this case, every mini-batch of a fixed size, say, 32, contains exactly the same total weight (32) for each update. This is the ...
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112 views

Logistic Regression: Using weights?

I am running a logistic regression model with the following data and variables: Independent variables (characteristics of a person coded as dummy) Test score (continuous variable between 0 and 1) ...
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2answers
1k views

How to set class weights for multi-class image segmentation?

I am trying to set class weights for a neural network with an imbalanced dataset. Let's say I have the following values: I have 8000 images of class A, 1100 images of class B, 400 images of class C, ...
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1answer
462 views

what is instance weight in boosting?

Hi, I am reading something about Boosting, and I had hard time understanding one of the steps in boosting - assign greater weights to those instances. What does the sentence - assign greater weights ...
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71 views

Using weighted or unweighted wPCA scores in Logistic regression model-SAS

Im working on data that I should weight the data using a weight variable that I have and I want to evaluate the association of dietary pattern and obesity. So first I run Proc factor and use the "...
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26 views

How to calculate the weighted value to give numbers? [closed]

Big picture question: How do I calculate the weight to give certain categories? Specifics: I have data for 70 counties, population in each county, and then number of sales in each county. How do I ...
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What is the effect of more than one chance of selection when sampling?

I am designing a clustered sample. Within each cluster there are 3 groups that will be sampled from - two at a higher rate than the other. The two subgroups that will be sampled at a higher rate are ...
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57 views

Dealing with Numerical Issues from Computing Weighted Sample Covariance Matrix

I have vector-valued samples $\mathbf{x}_1, \mathbf{x}_2, \ldots, \mathbf{x}_N$ with normalized weights $w_1, \ldots, w_N$. I'm trying to compute a weighted sample covariance matrix: $$ \sum_i w_i (\...
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2answers
98 views

Learning weights for variables based on cluster assignments

I need an approach to assign weights to variables based on the cluster. I am not trying to learn the clusters, as I already have them, but I would just like to now understand how "important" each ...
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146 views

How to calculate the standard deviation to be used for a confidence interval on a weighted data set?

Although there were some similar questions on the board, none seemed to quite be the same as what I'm asking. I have a set of survey values (satisfaction ratings) that have been weighted for non-...
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394 views

Test difference of population proportion and weighted sample proportion

I want to test for differences of the known proportion of the population vs. the proportion of a sample. The sample is weighted by sampling weights. The sum of weights is equal to the size of the ...
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795 views

Calculating a confidence interval for a weighted sample

In a nutshell, I'd like to compute a confidence interval for some weighted sample day where the final value I'm seeking is a sum of different weighted samples. Illustrated here with a toy example set ...
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178 views

Does there exist a variant of ARIMA allowing for weighted samples?

I have a univariate time series exhibiting strong periodicity that I want to forecast, and I plan to use ARIMA. However due to specifics of the prediction task that I'm interested in performing, some ...
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81 views

relative frequency

I have a number of data such as the following. Each represents a trial where two options (V1 and V2) were given to a participant ("judge") and they were asked to pick one over the other. V1 and V2 can ...
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1answer
59 views

Application of Bayesian Averaging for Ranking

I have a sample with two metrics and one ratio per attribute. I am trying to rank the attributes based on the ratio and variable amounts and from my research I have found that most people find ...
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2answers
2k views

Observations weight-age in a Machine Learning model

I want to know is there any way in R/Python to specify to the model to emphasize its learning more on specific subset of data , while it considers the whole data. For example - i have sales behavior ...
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1answer
39 views

Weighting prior proposals based on distance function in approximate Bayesian computation

The typical approach in approximate Bayesian computation (ABC) is to propose parameters from the prior, simulate data $\chi'_\text{sim}$ and then accept data that minimises the data misfit $\lambda$ ...
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73 views

How does one choose which factors to weight on?

How does one choose which factors to weight on? The context is the following: I am running a satisfaction survey. The key outcome metric is satisfaction. The survey has moderate to significant under-...
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21 views

Community Detection for Complete Weighted Network [duplicate]

I am wondering if someone who has experience in trying to perform community detection algorithm with complete graph with weighted network. As weighted networks represents the similarity of each node ...
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109 views

estimate Gamma from weighted data

I have weighted data (Dist = "Distance") that I expect to be in a Gamma distribution. There are about 28,000 observations that expand to a population of about 730,...
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1answer
459 views

Shannon's entropy negative indicator [closed]

I have a composite indicators whose indicators I want to weight, for which I am calculating the Shannon's entropy. Problem is some indicators measure growth and thus can be negative. Standardizing ...
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160 views

One sample proportion test for weighted data

I have a sample of observations (n) representing individual evaluations (positive/negative) of pieces of text (n texts). Each individual can evaluate more texts (thus there are m individuals with m &...
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1answer
73 views

Computing growth rates with drastically changing sample sizes

I'm computing growth rate for some companies annually for 3 years using this formula, for each year: ((# customers year 2 - # customers year 1) / # customers year 1) * 100 The problem I'm running ...
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1answer
75 views

Weighting hospital visit (independent variable)

I am interested in profiling patients that has high number of hospital visits in a year. However, I noticed that not all hospital visits are equal. That is, an inpatient visit is more expensive than ...
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1answer
4k views

What does this sampling weight mean?

The data comes from agricultural market research on farming. The sample was derived based on stratification of farming industries (sheep, beef, grains, etc.) and random sampling within each stratum. ...
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328 views

Should we adjusted the weight according to sample size in propensity score with IPTW method?

I'm a new learner in biostatistics, recently doing a project that might need to use IPTW method for balancing covariates between treatment groups. When I read one of the sas references [Ref 1] for ...
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1k views

How to compute a weighted AUC?

Say that I have a set of training examples with binary 0-1 labels, and corresponding regression labels ranging from 0 to 1. Normally, to compute AUC I've used the ROCR package in R, which also allows ...
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1answer
9k views

Scikit-Learn - Adding Weights to Features

I'm pretty new to machine learning and I have a question regarding weighting features. I was able to get code running with scikit-learn and random forest. Now I would like to weight certain features ...