15 Questions 13 Answers 0 Followers
Questions related from Chenying Gao
Hi All, My question is about modeling time series using LSTM (Long-Short-Term-Memory). I have 18 response variables for which all of them are monthly time series for about 15 years, and I would...
07 July 2018 6,861 1 View
Hi All, I'm doing Long-Short-Term-Memory (LSTM) to forecast time series. I was wondering, could we add x-reg part to an LSTM model? Like adding an X-Reg part to and ARIMA model? Say I have a...
07 July 2018 4,952 0 View
Hi All, I was wondering if there is a way I can do something like this: str = "3 .*MTNs2 AB33" This is a string of 14 characters I would like to have R return a vector of length 14, and true...
06 June 2018 6,252 1 View
Hi All, I'm fitting an arima with xreg: arima(temp_ts, order = c(1,1,1), seasonal = list(order = c(0,1,0), period = 12), xreg = temp_xreg, method="CSS") and it reported error: Error in...
04 April 2018 7,467 2 View
Hi, what is the Python equivalent for R step() function of stepwise regression with AIC as criteria? Is there an existing function in statsmodels.api?
03 March 2018 529 1 View
Hi All, I was trying to run Factor analysis for a dataset with around 150 variables but only have around 80 observations. I tried the "factanal" function in R and R reported error: Error in...
03 March 2018 4,276 3 View
This is a question regarding PySpark Error on Jupyter Notebook (Py4JJavaError) I'm running the demo code from https://spark.apache.org/docs/2.2.0/mllib-linear-methods.html regarding Linear least...
02 February 2018 8,436 0 View
I'm running a logistic regression with about 200k observations, in which there is one binary predictor where out of the 200k observations there is only 4 occurrence of "1". And the coefficient I...
11 November 2017 2,861 2 View
Hi All, I'm fitting a logistic regression and I summed up the deviance and used a chi-square distribution to test over-dispersion with this code below: 2 Questions: Q1: I'm getting a p-value
11 November 2017 5,298 2 View
How to test a Time Series to be "Constant" over time? I can think of: 1. No Trend (use linear regression and kernel regression) 2. No Seasonality (? Spectrum analysis with T = 2*pi /...
02 February 2017 2,290 7 View
In burn wounds, what are important factors in term of whether or not a subject would have ATB resistance?
06 June 2016 2,472 1 View
Here is what I need to do: All images (40,000 of them) are under a file and they are all named "roof_*.jpg"; for i=1:40000 Step One: import and image from the file directory ...
06 June 2016 1,223 9 View
Dear All, I'm running Neural Network on a data frame with 40,000 observations, 7500 predictors and with one response variables. The response variable is a categorical variable with 4 levels. I've...
06 June 2016 5,858 3 View
I got a data set collected from a hospitals about wound data. Every subject, when admitted, has a check-list filled out by the doctors, describing the depth, the size, the edge and all other...
05 May 2016 7,589 1 View
I'm working with the Australian Red Wine Data: QUESTION 1: What model should I try next? After I did a Log Transformation and Differenced at lag 12 and lag 1, here is the sample ACF/PACF I...
04 April 2016 513 4 View
