BayesFusion Support Forum

I have a strategic question related to the best way to handle missing data in my situation. The situation is a diagnostic model that is normally conducted in stages (as most probably are) usually testing the least expensive measures for targets and progressing to the more expensive. Generally this ...

I can do that.

I have done that with the file supplied with the tutorial. This works fine. I do not have Microsoft Access so I can not create my own file and try that.

Yes, I am referring to using the "Import ODBC Data" tool and more specifically the "Microsoft Excel Driver" for xls files.

I am trying to import data from an Excel file, I get essentially only an empty table. I have worked the tutorial example importing data from Microsoft Access and that works for me resulting in a table that I can adjust for missing values etc, however, Excel does not. All I get with Excel is an empty ...

Yes, that worked. I wonder while you are on a role if I can ask another question encountered on my way to this learning example. In trying to import data from an Excel file, I get essentially only an empty table. I have worked the tutorial example importing data from Microsoft Access and that works ...

You were correct with option c. There was one deterministic node. Is it true that I can set this and then solve for the other parameters? Do I need to eliminate the column of data for that node or can the node state still be set by discretized data?

I have developed a model for product development based on a diagnostic structure, e.g., all chance modules with targets, observations and auxiliary nodes. I have base definitions/probabilities entered into the property sheets but want to tighten up the model by learning parameters. I have tried to ...