Raw outputs for Simulation Study 2: Error Rate
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资源简介:
The folders contain all the raw output of the second simulation study from the paper:"Generalization in neural posterior estimation: Case studies with the racing diffusion model".The structure of the folders is as follows:- `experiment_*`: Study folder - `rdm_*`: Study condition folder (e.g., rdm_simple refers to the default settings) - `flow_matching`: Output related to neural posterior estimation (NPE) - `checkpoints`: Includes a `model.keras` file that contains the checkpoint of the NPE for this condition - `metrics`: Aggregated metrics based on posterior samples from NPE and MCMC - `npe_samples`: Raw posterior samples from NPE - `mcmc_samples`: Raw posterior samples obtained from Markov chain Monte Carlo (MCMC) - `test_data`: Test datasetsThe names of the study conditions are as follows:- `experiment_2`: - `rdm_simple`: Default settings with `mu_v_slope=1.5` and `beta_b=0.15` (condition medium-fixed) - `rdm_simple_lower`: Default settings with `mu_v_slope=2.5` and `beta_b=0.25` (condition lower-fixed) - `rdm_simple_meta`: Default settings with `mu_v_slope~U(0.5, 2.5)` and `beta_b~U(0.05, 0.25)` (condition full-varying) - `rdm_simple_lower`: Default settings with `mu_v_slope~U(0.5, 1.5)` and `beta_b~U(0.05, 0.15)` (condition lower-varying) - `rdm_simple_upper`: Default settings with `mu_v_slope~U(1.5, 2.5)` and `beta_b~U(0.15, 0.25)` (condition upper-varying) - `rdm_simple_upper`: Default settings with `mu_v_slope=0.5` and `beta_b=0.05` (condition upper-fixed)All datasets and posterior samples are stored in HDF5 files. Aggregated statistics are stored in CSV format.
本文件夹包含论文《神经后验估计的泛化性:基于竞速扩散模型的案例研究》中第二项模拟研究的全部原始输出结果。文件夹结构如下:
- `experiment_*`:研究级文件夹
- `rdm_*`:实验条件文件夹(例如`rdm_simple`对应默认设置)
- `flow_matching`:与神经后验估计(Neural Posterior Estimation, NPE)相关的输出内容
- `checkpoints`:内含`model.keras`文件,存储当前实验条件下NPE模型的检查点
- `metrics`:基于NPE与马尔可夫链蒙特卡洛(Markov Chain Monte Carlo, MCMC)生成的后验样本汇总得到的聚合指标
- `npe_samples`:NPE生成的原始后验样本
- `mcmc_samples`:通过MCMC方法得到的原始后验样本
- `test_data`:测试数据集
实验条件名称及说明如下:
- `experiment_2`:
- `rdm_simple`:采用默认设置,`mu_v_slope=1.5`且`beta_b=0.15`(即中等固定条件)
- `rdm_simple_lower`:采用默认设置,`mu_v_slope=2.5`且`beta_b=0.25`(即低固定条件)
- `rdm_simple_meta`:采用默认设置,`mu_v_slope`服从均匀分布U(0.5, 2.5)且`beta_b`服从均匀分布U(0.05, 0.25)(即全变分条件)
- `rdm_simple_lower`:采用默认设置,`mu_v_slope`服从均匀分布U(0.5, 1.5)且`beta_b`服从均匀分布U(0.05, 0.15)(即低变分条件)
- `rdm_simple_upper`:采用默认设置,`mu_v_slope`服从均匀分布U(1.5, 2.5)且`beta_b`服从均匀分布U(0.15, 0.25)(即高变分条件)
- `rdm_simple_upper`:采用默认设置,`mu_v_slope=0.5`且`beta_b=0.05`(即高固定条件)
所有数据集与后验样本均存储为HDF5格式文件,聚合统计量以CSV格式存储。
创建时间:
2025-12-15



