neural networks

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    Can I use a set of LSTMs to simulate counterfactual states?

    Motivation: I have a system comprised of three probabilistic boolean timeseries and I want to simulate how two of them would react, if a certain intervention would take place (lets say, timeseries 1 can be influenced and will definitely be "0" for the next 6 observations). (The managerial...
  2. L

    Time series in small data with R

    Hi there I have this data year number of surgeries 2000 570 2005 1340 2006 4730 2007 5359 2009 6060 2010 6340 2014 ???? 2015 ???? I want predict number of surgeries in 2014 and 2015. I want use neural network, SVM and all methods for...
  3. K

    Predicting the near-future values using an unevenly sampled time-series data

    Hi there, I need help with predicting the near-future values using an unevenly sampled time-series data. Data is collected as events, and is converted to time series. I have tried out a few approached which have not been successful. Please let me know if there is anything I can do around...
  4. B

    correlating many time series to find functional pairs

    Hi there, I'm a neuroscientist in deep water, trying to do things that aren't standard in my field. I have a strong feeling there are established methods for this, so please give some input if you can! Data (very simplified but illustrates the issue): - From 20 humans, I have...
  5. A

    Accounting for spatial autocorrelation in neural network analysis in R

    Hi all, I have been exploring the use of neural networks to identify relationships between large numbers of differing species and the presence of a specific bacteria in the environment. Previously I had been using mixed effects models, as I could account for spatial autocorrelation in my...
  6. G

    Patient data - Choosing the Right Model

    Hello, I just finished up my first year as a statistics major and have been assigned a summer project from my employer at the hospital near my school. The aim of the project is to use data from 50 patients infected with a certain disease, create a data model based on this information and use...
  7. A

    Reducing likert-type scales from 10 point scale to lower order point scal

    Have made lots of movement in looking at this project... Overall Aim: To construct a clinical medical image scales (10 images in scale) Objectives: To construct a 10 point scale using responses from multiple observers Use scale to find areas of confusion between observers Using...
  8. Z

    Target Layer Activation Function of a Neural Netwrok with Ordinal Target (3 events)

    Hello, I have a neural network with an input layer, two hidden layer and one target layer. The target is binary (1,0). The activation function is the logistic one. The second hidden layer has thrre outputs H21, H22, H32. These outpus are combined in a combination function n31 that is the...