docstr: Checks that unconstrained parameters yield finite joint densities.
docstr_tok: ["Checks","that","unconstrained","parameters","yield","finite","joint","densities","."]
code: def testBrownianMotionUnknownScalesMissingMiddleObservations(self):
      """Checks that unconstrained parameters yield finite joint densities."""
      model = (
          brownian_motion.BrownianMotionUnknownScalesMissingMiddleObservations()
      )
      self.validate_log_prob_and_transforms(
          model,
          sample_transformation_shapes=dict(
              identity={
                  "innovation_noise_scale": [],
                  "observation_noise_scale": [],
                  "locs": [30],
              }
          ),
          check_ground_truth_mean_standard_error=True,
          check_ground_truth_mean=True,
          check_ground_truth_standard_deviation=True,
      )
  
file_path: probability/spinoffs/inference_gym/inference_gym/targets/brownian_motion_test.py
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import brownian_motion
label_desc: Use image node_id 3 for calling the BrownianMotionTest obj's underlying member method code with example usage: obj.testBrownianMotionUnknownScalesMissingMiddleObservations() without return types