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Dr. A recently became licensed and opened a private practice. He was very excited about becoming independent and looked forward to developing a satisfying and profitable career. He became disappointed after several months when his practice did not fill up quickly. Furthermore, he was anxious about his financial status, feeling that he would be unable to pay his overhead expenses as well as his home mortgage. His wife was pregnant with their first child, and Dr. A was concerned about a significant increase in family expenses. An uninformed but wellmeaning colleague referred to Dr. A a patient who suffered from panic attacks. The man was wealthy enough to be able to afford treatment and wanted to be seen in psychotherapy several times each week. Dr. A happily agreed to treat the patient even though he had never treated a patient with panic disorder before and despite his own doubt that three sessions per week were necessary. He thought that he would go to a local bookstore and read a popular press book on panic disorder to learn about it. Without appropriate training, experience, and consultation in treating panic disorder, Dr. A unethically treated the patient. Dr. A should have referred the patient to a professional with adequate training or experience. He should have obtained appropriate training and supervision prior to treating a panic disorder patient. He also should have declined to see the patient more often than was clinically indicated.

Thus, by the Markov lemma, we have (X n , Y n , W n ) A (n) and therefore the empirical joint distribution is close to the original distribution p(x, y)p(w|x) that we started with, and hence (X n , X n ) will have a joint distribution that is close to the distribution that achieves distortion D Hence with high probability, the decoder will produce X n such that the n n is close to nD This completes the proof distortion between X and X of the theorem The reader is referred to Wyner and Ziv [574] for details of the proof After the discussion of the various situations of compressing distributed data, it might be expected that the problem is almost completely solved, but unfortunately, this is not true.

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Housekeeper s Report Room 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 Status O O O O V V O O O O O O O O O V O O O O V V V O O O O O O O O O V Room 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 Status OOO O V V O O V O O O OOO OOO O O V V O O O O O V V O O O V V V O O O V Room 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200

An immediate generalization of all the above problems is the rate distortion problem for correlated sources, illustrated in Figure 1534 This is essentially the Slepian Wolf problem with distortion in both X and Y It is easy to see that the three distributed source coding problems considered above are all special cases of this setup Unlike the earlier problems, though, this problem has not yet been solved and the general rate distortion region remains unknown..

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FIGURE 16.10 Medium behavior. Success probability for node: (a) in source cluster, (b) in middle cluster, and (c) in sink cluster.

The rst Interamerican Congress of Clinical Psychology was held in Porto Alegre, Brazil. The rst Latin American Conference on Training in Psychology convened in Bogot , Colombia, with support from UNESCO and the International Union of Psychological Science. The African Conference on Child Rearing took place in Yaounde, Cameroon, with support from the International Union of Psychological Science, UNESCO, and the Population Council.

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