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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.
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Latest Discussions

  • Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

    Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

    Marco2024 Marco2024
    Discussions |
    Oct 2, 2024 5:15 PM
    705 views | 0 replies
  • Multinomial Logistic Regression Confidence for Specific Parameter Changes

    Hi,  I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...

    altug_bayram altug_bayram
    Discussions |
    Sep 5, 2024 9:02 AM
    805 views | 0 replies
  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1038 views | 0 replies
  • Hyperparameters and neural network architecture

    Hello,I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and ...

    Grizzly Grizzly
    Discussions |
    Jul 2, 2024 5:42 AM
    645 views | 0 replies
  • hybrid models

    Why doesn't a large and powerful program like JMPPRO contain hybrid models in time series such as the ARIMA-ANN model, ARMAX model, and others?

    Raaed Raaed
    Discussions |
    May 31, 2024 9:43 AM
    786 views | 0 replies
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