approximate fiducial computation and deep fiducial inference

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Approximate Fiducial Computation and Deep Fiducial Inference Gang Li* ([email protected]) and Jan Hannig Department of Statistics and Operations Research, UNC at Chapel Hill, NC 27599 Company or University Logo BACKGROUND METHODS SIMULATION Ⅰ SIMULATION Ⅱ CONCLUSIONS

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Page 1: Approximate Fiducial Computation and Deep Fiducial Inference

Approximate Fiducial Computation and Deep Fiducial InferenceGang Li* ([email protected]) and Jan Hannig

Department of Statistics and Operations Research, UNC at Chapel Hill, NC 27599

Company or University Logo

BACKGROUND METHODS SIMULATION Ⅰ SIMULATION Ⅱ

CONCLUSIONS

Page 2: Approximate Fiducial Computation and Deep Fiducial Inference

AFC and DFI Supplementary PosterGang Li* ([email protected]) and Jan Hannig

Department of Statistics and Operations Research, UNC at Chapel Hill, NC 27599

Company or University Logo

BACKGROUND METHODS RESULTS FUTURE WORK

REFERENCES

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Generalized Fiducial Inference: A Review and New Results · 2021. 8. 16. · The strengths and limitations of the generalized fiducial approach are becoming better understood, see,

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